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ragflow/internal/entity/models/jina.go

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//
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
package models
import (
"bytes"
Go: add Jina chat completions support (#14935) ### What problem does this PR solve? This PR adds non-streaming chat support for the Jina Go model provider. The Jina provider was added with embedding, rerank, model listing, and connection checking, but `ChatWithMessages` still returned a not-implemented error even though Jina exposes an OpenAI-compatible `/v1/chat/completions` endpoint. Closes #14933 **The following functionalities are now supported:** ### **Jina:** - [x] Chat - [ ] Stream Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance ### **Implementation details:** - Implements `JinaModel.ChatWithMessages` - Sends `Authorization: Bearer <api-key>` and JSON chat completion requests - Validates API key, model name, messages, and configured region before making requests - Forwards supported chat config fields: `max_tokens`, `temperature`, `top_p`, and `stop` - Parses the first chat completion choice into `ChatResponse.Answer` - Adds `jina-ai/jina-vlm` as a chat-capable model in `conf/models/jina.json` - Adds focused unit tests for request construction, auth, response parsing, validation errors, provider errors, and region handling **Verification:** ```plaintext docker run --rm -v $PWD:/repo -w /repo golang:1.25 sh -c '/usr/local/go/bin/gofmt -w internal/entity/models/jina.go internal/entity/models/jina_test.go && /usr/local/go/bin/go test -vet=off ./internal/entity/models -run TestJina -count=1' ok ragflow/internal/entity/models 0.037s ``` Note: `go test ./internal/entity/models -run TestJina -count=1` currently hits unrelated existing vet findings in other provider files, so the focused Jina tests were run with `-vet=off`. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
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"context"
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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"time"
)
type JinaModel struct {
baseModel BaseModel
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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}
func NewJinaModel(baseURL map[string]string, urlSuffix URLSuffix) *JinaModel {
// Embed/Rerank/ListModels issue requests without a per-call context
// deadline, so keep an explicit 90s client-level timeout to bound them.
// Built on the shared transport via NewDriverHTTPClient.
client := NewDriverHTTPClient()
client.Timeout = 90 * time.Second
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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return &JinaModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
httpClient: client,
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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},
}
}
func (j *JinaModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewJinaModel(baseURL, j.baseModel.URLSuffix)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
func (j *JinaModel) Name() string {
return "jina"
}
func (j *JinaModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
if err := j.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
Go: add Jina chat completions support (#14935) ### What problem does this PR solve? This PR adds non-streaming chat support for the Jina Go model provider. The Jina provider was added with embedding, rerank, model listing, and connection checking, but `ChatWithMessages` still returned a not-implemented error even though Jina exposes an OpenAI-compatible `/v1/chat/completions` endpoint. Closes #14933 **The following functionalities are now supported:** ### **Jina:** - [x] Chat - [ ] Stream Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance ### **Implementation details:** - Implements `JinaModel.ChatWithMessages` - Sends `Authorization: Bearer <api-key>` and JSON chat completion requests - Validates API key, model name, messages, and configured region before making requests - Forwards supported chat config fields: `max_tokens`, `temperature`, `top_p`, and `stop` - Parses the first chat completion choice into `ChatResponse.Answer` - Adds `jina-ai/jina-vlm` as a chat-capable model in `conf/models/jina.json` - Adds focused unit tests for request construction, auth, response parsing, validation errors, provider errors, and region handling **Verification:** ```plaintext docker run --rm -v $PWD:/repo -w /repo golang:1.25 sh -c '/usr/local/go/bin/gofmt -w internal/entity/models/jina.go internal/entity/models/jina_test.go && /usr/local/go/bin/go test -vet=off ./internal/entity/models -run TestJina -count=1' ok ragflow/internal/entity/models 0.037s ``` Note: `go test ./internal/entity/models -run TestJina -count=1` currently hits unrelated existing vet findings in other provider files, so the focused Jina tests were run with `-vet=off`. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-17 18:03:12 -10:00
}
if modelName == "" {
return nil, fmt.Errorf("model name is required")
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
baseURL, err := j.baseModel.GetBaseURL(apiConfig)
Go: add Jina chat completions support (#14935) ### What problem does this PR solve? This PR adds non-streaming chat support for the Jina Go model provider. The Jina provider was added with embedding, rerank, model listing, and connection checking, but `ChatWithMessages` still returned a not-implemented error even though Jina exposes an OpenAI-compatible `/v1/chat/completions` endpoint. Closes #14933 **The following functionalities are now supported:** ### **Jina:** - [x] Chat - [ ] Stream Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance ### **Implementation details:** - Implements `JinaModel.ChatWithMessages` - Sends `Authorization: Bearer <api-key>` and JSON chat completion requests - Validates API key, model name, messages, and configured region before making requests - Forwards supported chat config fields: `max_tokens`, `temperature`, `top_p`, and `stop` - Parses the first chat completion choice into `ChatResponse.Answer` - Adds `jina-ai/jina-vlm` as a chat-capable model in `conf/models/jina.json` - Adds focused unit tests for request construction, auth, response parsing, validation errors, provider errors, and region handling **Verification:** ```plaintext docker run --rm -v $PWD:/repo -w /repo golang:1.25 sh -c '/usr/local/go/bin/gofmt -w internal/entity/models/jina.go internal/entity/models/jina_test.go && /usr/local/go/bin/go test -vet=off ./internal/entity/models -run TestJina -count=1' ok ragflow/internal/entity/models 0.037s ``` Note: `go test ./internal/entity/models -run TestJina -count=1` currently hits unrelated existing vet findings in other provider files, so the focused Jina tests were run with `-vet=off`. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
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if err != nil {
return nil, err
}
baseURL = strings.TrimSuffix(baseURL, "/")
url := fmt.Sprintf("%s/%s", baseURL, j.baseModel.URLSuffix.Chat)
Go: add Jina chat completions support (#14935) ### What problem does this PR solve? This PR adds non-streaming chat support for the Jina Go model provider. The Jina provider was added with embedding, rerank, model listing, and connection checking, but `ChatWithMessages` still returned a not-implemented error even though Jina exposes an OpenAI-compatible `/v1/chat/completions` endpoint. Closes #14933 **The following functionalities are now supported:** ### **Jina:** - [x] Chat - [ ] Stream Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance ### **Implementation details:** - Implements `JinaModel.ChatWithMessages` - Sends `Authorization: Bearer <api-key>` and JSON chat completion requests - Validates API key, model name, messages, and configured region before making requests - Forwards supported chat config fields: `max_tokens`, `temperature`, `top_p`, and `stop` - Parses the first chat completion choice into `ChatResponse.Answer` - Adds `jina-ai/jina-vlm` as a chat-capable model in `conf/models/jina.json` - Adds focused unit tests for request construction, auth, response parsing, validation errors, provider errors, and region handling **Verification:** ```plaintext docker run --rm -v $PWD:/repo -w /repo golang:1.25 sh -c '/usr/local/go/bin/gofmt -w internal/entity/models/jina.go internal/entity/models/jina_test.go && /usr/local/go/bin/go test -vet=off ./internal/entity/models -run TestJina -count=1' ok ragflow/internal/entity/models 0.037s ``` Note: `go test ./internal/entity/models -run TestJina -count=1` currently hits unrelated existing vet findings in other provider files, so the focused Jina tests were run with `-vet=off`. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-17 18:03:12 -10:00
apiMessages := make([]map[string]interface{}, len(messages))
for i, msg := range messages {
apiMessages[i] = map[string]interface{}{
"role": msg.Role,
"content": msg.Content,
}
}
reqBody := map[string]interface{}{
"model": modelName,
"messages": apiMessages,
"stream": false,
}
if chatModelConfig != nil {
if chatModelConfig.MaxTokens != nil {
reqBody["max_tokens"] = *chatModelConfig.MaxTokens
}
if chatModelConfig.Temperature != nil {
reqBody["temperature"] = *chatModelConfig.Temperature
}
if chatModelConfig.TopP != nil {
reqBody["top_p"] = *chatModelConfig.TopP
}
if chatModelConfig.Stop != nil {
reqBody["stop"] = *chatModelConfig.Stop
}
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := j.baseModel.httpClient.Do(req)
Go: add Jina chat completions support (#14935) ### What problem does this PR solve? This PR adds non-streaming chat support for the Jina Go model provider. The Jina provider was added with embedding, rerank, model listing, and connection checking, but `ChatWithMessages` still returned a not-implemented error even though Jina exposes an OpenAI-compatible `/v1/chat/completions` endpoint. Closes #14933 **The following functionalities are now supported:** ### **Jina:** - [x] Chat - [ ] Stream Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance ### **Implementation details:** - Implements `JinaModel.ChatWithMessages` - Sends `Authorization: Bearer <api-key>` and JSON chat completion requests - Validates API key, model name, messages, and configured region before making requests - Forwards supported chat config fields: `max_tokens`, `temperature`, `top_p`, and `stop` - Parses the first chat completion choice into `ChatResponse.Answer` - Adds `jina-ai/jina-vlm` as a chat-capable model in `conf/models/jina.json` - Adds focused unit tests for request construction, auth, response parsing, validation errors, provider errors, and region handling **Verification:** ```plaintext docker run --rm -v $PWD:/repo -w /repo golang:1.25 sh -c '/usr/local/go/bin/gofmt -w internal/entity/models/jina.go internal/entity/models/jina_test.go && /usr/local/go/bin/go test -vet=off ./internal/entity/models -run TestJina -count=1' ok ragflow/internal/entity/models 0.037s ``` Note: `go test ./internal/entity/models -run TestJina -count=1` currently hits unrelated existing vet findings in other provider files, so the focused Jina tests were run with `-vet=off`. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-17 18:03:12 -10:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Jina chat API error: status %d, body: %s", resp.StatusCode, string(body))
}
var result map[string]interface{}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
choices, ok := result["choices"].([]interface{})
if !ok || len(choices) == 0 {
return nil, fmt.Errorf("no choices in response")
}
firstChoice, ok := choices[0].(map[string]interface{})
if !ok {
return nil, fmt.Errorf("invalid choice format")
}
messageMap, ok := firstChoice["message"].(map[string]interface{})
if !ok {
return nil, fmt.Errorf("invalid message format")
}
content, ok := messageMap["content"].(string)
if !ok {
return nil, fmt.Errorf("invalid content format")
}
reasonContent := ""
return &ChatResponse{
Answer: &content,
ReasonContent: &reasonContent,
}, nil
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
func (j *JinaModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
//TODO implement me: https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post
return fmt.Errorf("jina does not implement ChatStreamlyWithSender(not available for now)")
}
func (j *JinaModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
if err := j.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
if len(texts) == 0 {
return []EmbeddingData{}, nil
}
resolvedBaseURL, err := j.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, j.baseModel.URLSuffix.Embedding)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
reqBody := map[string]interface{}{
"model": *modelName,
"input": texts,
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := j.baseModel.httpClient.Do(req)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Jina embedding API error: status %d, body: %s", resp.StatusCode, string(body))
}
var parsedResponse struct {
Data []struct {
Embedding []float64 `json:"embedding"`
Index int `json:"index"`
} `json:"data"`
}
if err = json.Unmarshal(body, &parsedResponse); err != nil {
return nil, fmt.Errorf("failed to decode response: %w", err)
}
if len(parsedResponse.Data) == 0 {
return nil, fmt.Errorf("Jina embedding response contains no data: %s", string(body))
}
var embeddings []EmbeddingData
for _, dataElem := range parsedResponse.Data {
embeddings = append(embeddings, EmbeddingData{
Embedding: dataElem.Embedding,
Index: dataElem.Index,
})
}
return embeddings, nil
}
func (j *JinaModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
if err := j.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
if len(documents) == 0 {
return &RerankResponse{}, nil
}
resolvedBaseURL, err := j.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, j.baseModel.URLSuffix.Rerank)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
var topN = rerankConfig.TopN
if rerankConfig.TopN != 0 {
topN = rerankConfig.TopN
}
reqBody := map[string]interface{}{
"model": *modelName,
"query": query,
"documents": documents,
"top_n": topN,
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := j.baseModel.httpClient.Do(req)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Jina Rerank API error: status %d, body: %s", resp.StatusCode, string(body))
}
var rerankResp struct {
Results []struct {
Index int `json:"index"`
RelevanceScore float64 `json:"relevance_score"`
} `json:"results"`
}
if err = json.Unmarshal(body, &rerankResp); err != nil {
return nil, fmt.Errorf("failed to decode response: %w", err)
}
var rerankResponse RerankResponse
for _, result := range rerankResp.Results {
rerankResult := RerankResult{
Index: result.Index,
RelevanceScore: result.RelevanceScore,
}
rerankResponse.Data = append(rerankResponse.Data, rerankResult)
}
return &rerankResponse, nil
}
func (j *JinaModel) ListModels(apiConfig *APIConfig) ([]ListModelResponse, error) {
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
resolvedBaseURL, err := j.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, j.baseModel.URLSuffix.Models)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
req, err := http.NewRequest("GET", url, nil)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
resp, err := j.baseModel.httpClient.Do(req)
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response body: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
}
// Parse response
var result map[string]interface{}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
// convert result["data"] to []map[string]interface{}
models := make([]DSModel, 0, len(result["data"].([]interface{})))
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
for _, model := range result["data"].([]interface{}) {
modelName := model.(map[string]interface{})["name"].(string)
models = append(models, DSModel{
ID: modelName,
OwnedBy: "",
})
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
// Jina list models: `Jina AI: Jina Embeddings v5 Text Nano`
return ParseListModel(ModelList{Models: models}), nil
Go: implement provider: Jina (#14838) ### What problem does this PR solve? This PR completes the Jina provider **The following functionalities are now supported:** **Jina:** - [ ] Chat / Stream Chat (Not available for now: [(Jina chat API docs)](https://api.jina.ai/docs#/Search%20Foundation%20Models/chat_completions_v1_chat_completions_post)) - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] ~~Balance~~ **Verified examples from the CLI:** ```plaintext RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'jina-embeddings-v2-base-en@test@jina' dimension 16 +-----------+-------+ | dimension | index | +-----------+-------+ | 768 | 0 | | 768 | 1 | +-----------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'jina-reranker-v2-base-multilingual@test@jina' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.74316794 | | 2 | 0.18713269 | | 1 | 0.15817434 | +-------+-----------------+ RAGFlow(user)> list supported models from 'jina' 'test' +---------------------------------------------+ | model_name | +---------------------------------------------+ | Jina AI: Jina VLM | | Jina AI: Jina Reranker v3 | | Jina AI: Jina Code Embeddings 0.5b | | Jina AI: Jina Code Embeddings 1.5b | | Jina AI: Jina Embeddings v4 | | Jina AI: Jina Reranker M0 | | Jina AI: ReaderLM v2 | | Jina AI: Jina Clip v2 | | Jina AI: Jina Embeddings v3 | | Jina AI: Jina Colbert v2 | | Jina AI: Reader LM 0.5b | | Jina AI: Reader LM 1.5b | | Jina AI: Jina Reranker v2 Base Multilingual | | Jina AI: Jina Clip v1 | | Jina AI: Jina Reranker v1 Tiny EN | | Jina AI: Jina Reranker v1 Turbo EN | | Jina AI: Jina Reranker v1 Base EN | | Jina AI: Jina Colbert v1 EN | | Jina AI: Jina Embeddings v2 Base ES | | Jina AI: Jina Embeddings v2 Base Code | | Jina AI: Jina Embeddings v2 Base DE | | Jina AI: Jina Embeddings v2 Base ZH | | Jina AI: Jina Embeddings v2 Base EN | | Jina AI: Jina Embedding B EN v1 | | Jina AI: Jina Embeddings v5 Text Small | | Jina AI: Jina Embeddings v5 Omni Small | | Jina AI: Jina Embeddings v5 Omni Nano | | Jina AI: Jina Embeddings v5 Text Nano | +---------------------------------------------+ RAGFlow(user)> check instance 'test' from 'jina' SUCCESS ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality)
2026-05-12 18:03:05 +08:00
}
func (j *JinaModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("no such method")
}
func (j *JinaModel) CheckConnection(apiConfig *APIConfig) error {
_, err := j.ListModels(apiConfig)
return err
}
// TranscribeAudio transcribe audio
func (j *JinaModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
}
func (j *JinaModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", j.Name())
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### What problem does this PR solve? This PR implement implement OCR for Baidu and Mistral, implement PaddleOCR provider and implement ASR for CoHere **Verified examples from the CLI:** ``` RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # PaddleOCR RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Bingxin Ke Nando Metzger Photogra Anton Obukhov Rodrigo Caye Daudt netry and Remote Sensing, Shengyu Huang Konrad Schindler ETH Zürich <div style="text-align: c... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # Cohere RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}' +-----------------------------------------------------------------------------------------------------------------------+ | text | +-----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. | +-----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-15 18:41:43 +08:00
// AudioSpeech convert text to audio
func (j *JinaModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
}
func (j *JinaModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", j.Name())
}
// OCRFile OCR file
func (j *JinaModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
}
// ParseFile parse file
func (j *JinaModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
}
func (j *JinaModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
}
func (j *JinaModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", j.Name())
}