2026-06-03 16:33:58 +08:00
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//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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2026-05-06 12:03:58 +08:00
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package models
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import (
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"bytes"
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Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
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"context"
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2026-05-06 12:03:58 +08:00
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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2026-07-18 21:02:07 +08:00
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"ragflow/internal/common"
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2026-05-06 12:03:58 +08:00
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"strings"
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)
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// OllamaModel implements ModelDriver for Ollama AI
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type OllamaModel struct {
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2026-06-04 17:50:22 +08:00
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baseModel BaseModel
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2026-05-06 12:03:58 +08:00
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}
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// NewOllamaModel creates a new Ollama AI model instance
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func NewOllamaModel(baseURL map[string]string, urlSuffix URLSuffix) *OllamaModel {
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return &OllamaModel{
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2026-06-04 17:50:22 +08:00
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baseModel: BaseModel{
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2026-06-08 20:06:57 +08:00
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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AllowEmptyAPIKey: true,
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2026-07-31 19:15:38 +08:00
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httpClient: NewDriverHTTPClient(true),
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2026-05-06 12:03:58 +08:00
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},
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}
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}
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2026-05-06 19:23:11 +08:00
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func (o *OllamaModel) NewInstance(baseURL map[string]string) ModelDriver {
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2026-06-04 17:50:22 +08:00
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return NewOllamaModel(baseURL, o.baseModel.URLSuffix)
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2026-05-06 12:03:58 +08:00
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}
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2026-05-06 19:23:11 +08:00
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func (o *OllamaModel) Name() string {
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2026-07-09 10:19:10 +08:00
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return "Ollama"
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2026-05-06 12:03:58 +08:00
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}
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2026-07-22 22:30:57 +08:00
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func (o *OllamaModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
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2026-05-06 12:03:58 +08:00
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if len(messages) == 0 {
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return nil, fmt.Errorf("message is nil")
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}
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2026-06-04 17:50:22 +08:00
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resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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2026-05-06 12:03:58 +08:00
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}
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2026-06-04 17:50:22 +08:00
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url := fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.Chat)
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2026-05-06 12:03:58 +08:00
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// For qwen/glm models, use async chat endpoint
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modelType := strings.Split(modelName, "_")[0]
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if modelType == "qwen" || modelType == "glm" {
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2026-06-04 17:50:22 +08:00
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url = fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.AsyncChat)
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2026-05-06 12:03:58 +08:00
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}
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// Build request body
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2026-07-23 19:12:58 +08:00
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reqBody := buildRequestBody(chatModelConfig, modelName, messages, false)
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2026-05-06 12:03:58 +08:00
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if chatModelConfig != nil {
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fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
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if chatModelConfig.Effort != nil && *chatModelConfig.Effort != "" {
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if strings.HasPrefix(strings.ToLower(modelName), "gpt-oss") {
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reqBody["think"] = *chatModelConfig.Effort
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}
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} else if chatModelConfig.Thinking != nil {
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2026-05-06 12:03:58 +08:00
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if *chatModelConfig.Thinking {
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fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
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reqBody["think"] = true
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2026-05-06 12:03:58 +08:00
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}
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}
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}
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feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary
Relate to #17284
Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.
- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00
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body, err := o.baseModel.doRequest(ctx, url, apiConfig, reqBody, nonStreamCallTimeout)
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2026-05-06 12:03:58 +08:00
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if err != nil {
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feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary
Relate to #17284
Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.
- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00
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return nil, err
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2026-05-06 12:03:58 +08:00
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}
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feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary
Relate to #17284
Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.
- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00
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return HandleNonStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig)
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2026-05-06 12:03:58 +08:00
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}
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2026-07-22 22:30:57 +08:00
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func (o *OllamaModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
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2026-05-06 12:03:58 +08:00
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if len(messages) == 0 {
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return fmt.Errorf("messages is empty")
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}
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2026-06-04 17:50:22 +08:00
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resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return err
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2026-05-06 12:03:58 +08:00
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}
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2026-06-04 17:50:22 +08:00
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url := fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.Chat)
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2026-05-06 12:03:58 +08:00
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modelType := strings.Split(modelName, "-")[0]
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if modelType == "qwen" || modelType == "glm" {
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2026-06-04 17:50:22 +08:00
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url = fmt.Sprintf("%s/%s", resolvedBaseURL, o.baseModel.URLSuffix.AsyncChat)
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2026-05-06 12:03:58 +08:00
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}
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// Build request body with streaming enabled
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2026-07-23 19:12:58 +08:00
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reqBody := buildRequestBody(modelConfig, modelName, messages, true)
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2026-05-06 12:03:58 +08:00
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fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
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if modelConfig.Effort != nil && *modelConfig.Effort != "" {
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if strings.HasPrefix(strings.ToLower(modelName), "gpt-oss") {
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reqBody["think"] = *modelConfig.Effort
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}
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} else if modelConfig.Thinking != nil {
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2026-05-06 12:03:58 +08:00
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if *modelConfig.Thinking {
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fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
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reqBody["think"] = true
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2026-05-06 12:03:58 +08:00
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}
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}
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|
feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary
Relate to #17284
Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.
- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00
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reqBody["stream_options"] = map[string]interface{}{"include_usage": true}
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2026-05-06 12:03:58 +08:00
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|
|
|
feat(go-models): migrate batch 3 model drivers to unified handlers (#17698)
## Summary
Relate to #17284
Migrate 10 OpenAI-compatible drivers (`minimax`, `mistral`,
`modelscope`, `moonshot`, `n1n`, `novita`, `ollama`, `openai`,
`openai_api_compatible`, `openrouter`) to use the unified response
handlers (`HandleNonStreamingResponse` / `HandleStreamingResponse`),
following the same pattern established by `deepseek` in #17634.
- Cut ~150 lines per driver (1692 lines removed, 172 added across 10
files).
- `openai_api_compatible` gains `ChatWithMessages` +
`ChatStreamlyWithSender` required by the unified handler infrastructure.
- `openai` driver preserves `reasoning_content` extraction for o-series
models.
- All drivers: pure deduplication of HTTP plumbing.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 15:08:55 +08:00
|
|
|
return o.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error {
|
|
|
|
|
return HandleStreamingResponse(body, modelUsage, modelConfig, OpenAIParserConfig, sender)
|
|
|
|
|
})
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
|
2026-06-04 17:50:22 +08:00
|
|
|
if err := o.baseModel.APIConfigCheck(apiConfig); err != nil {
|
|
|
|
|
return nil, err
|
|
|
|
|
}
|
|
|
|
|
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
if len(texts) == 0 {
|
2026-05-11 14:45:30 +08:00
|
|
|
return []EmbeddingData{}, nil
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if modelName == nil || *modelName == "" {
|
|
|
|
|
return nil, fmt.Errorf("model name is required")
|
|
|
|
|
}
|
|
|
|
|
|
2026-06-04 17:50:22 +08:00
|
|
|
resolvedBaseURL, err := o.baseModel.GetBaseURL(apiConfig)
|
|
|
|
|
if err != nil {
|
|
|
|
|
return nil, err
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
}
|
2026-06-04 17:50:22 +08:00
|
|
|
baseURL := resolvedBaseURL
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
if baseURL == "" {
|
2026-06-04 17:50:22 +08:00
|
|
|
baseURL = resolvedBaseURL
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
}
|
|
|
|
|
if baseURL == "" {
|
|
|
|
|
return nil, fmt.Errorf("missing base URL: please configure the local access address for Ollama (e.g., http://127.0.0.1:11434/v1)")
|
|
|
|
|
}
|
|
|
|
|
|
2026-06-04 17:50:22 +08:00
|
|
|
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), o.baseModel.URLSuffix.Embedding)
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
|
|
|
|
|
reqBody := map[string]interface{}{
|
|
|
|
|
"model": *modelName,
|
|
|
|
|
"input": texts,
|
|
|
|
|
}
|
|
|
|
|
if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
|
|
|
|
|
reqBody["dimensions"] = embeddingConfig.Dimension
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
jsonData, err := json.Marshal(reqBody)
|
|
|
|
|
if err != nil {
|
|
|
|
|
return nil, fmt.Errorf("failed to marshal request: %w", err)
|
|
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
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")
|
2026-06-08 20:06:57 +08:00
|
|
|
if auth := BearerAuth(apiConfig); auth != "" {
|
|
|
|
|
req.Header.Set("Authorization", auth)
|
|
|
|
|
}
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
|
2026-06-04 17:50:22 +08:00
|
|
|
resp, err := o.baseModel.httpClient.Do(req)
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
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("Ollama embeddings API error: %s, body: %s", resp.Status, string(body))
|
|
|
|
|
}
|
|
|
|
|
|
fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
|
|
|
var embedResp struct {
|
|
|
|
|
Model string `json:"model"`
|
|
|
|
|
Embeddings [][]float64 `json:"embeddings"`
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
}
|
|
|
|
|
|
fix(Go): rewrite chat, listmodels, embed for Ollama (#15213)
### What problem does this PR solve?
IDK how to implement **`Ollama`** on #14580 but it's totally wrong.
This is the rewrite version for **`Ollama`**
**Verified from CLI**
```
# Embed
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'nomic-embed-text:latest@test12@ollama' dimension 1024;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 768 | 0 |
| 768 | 1 |
+-----------+-------+
# Chat
RAGFlow(user)> think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: Okay, the user asked, "Who r u?" I need to respond appropriately. First, I should acknowledge their question. Since I'm an AI, I don't have a physical form, but I can confirm that I'm a large language model. I should keep the response friendly and offer help. Let me make sure I'm not making up any information and that the response is natural. Also, I should check for any typos and ensure clarity. Alright, that should cover it.
Answer: I'm an AI language model, and I don't have a physical form. However, I can tell you that I'm designed to assist with questions and tasks. How can I help you today?
Time: 2.914285
RAGFlow(user)> stream think chat with 'qwen3:0.6b@test12@ollama' message 'who r u'
Thinking: , the user asked, "Who are you?" I need to respond appropriately. Since I'm an AI assistant, I should mention that I don't have a physical form or a mind. I should also clarify that I can help with various tasks like answering questions or providing information. It's important to keep the response friendly and informative while maintaining the correct tone.
Answer: don't have a physical form or a mind, but I'm here to help with your questions or tasks! What can I do for you today?
Time: 1.740047
# LisyModels
RAGFlow(user)> list supported models from 'ollama' 'test12'
+-------------------------+
| model_name |
+-------------------------+
| nomic-embed-text:latest |
| qwen3:0.6b |
+-------------------------+
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2026-05-25 18:55:03 +08:00
|
|
|
if err = json.Unmarshal(body, &embedResp); err != nil {
|
|
|
|
|
return nil, fmt.Errorf("failed to unmarshal response: %w", err)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if len(embedResp.Embeddings) == 0 {
|
|
|
|
|
return nil, fmt.Errorf("no embeddings returned")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
embeddings := make([]EmbeddingData, 0, len(embedResp.Embeddings))
|
|
|
|
|
|
|
|
|
|
for i, emb := range embedResp.Embeddings {
|
|
|
|
|
if len(emb) == 0 {
|
|
|
|
|
return nil, fmt.Errorf("empty embedding at index %d", i)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
embeddings = append(embeddings, EmbeddingData{
|
|
|
|
|
Embedding: emb,
|
|
|
|
|
Index: i,
|
|
|
|
|
})
|
Go: implement Encode (embeddings) in Ollama driver (#14664)
### What problem does this PR solve?
The Ollama Go driver shipped with a stub \`Encode\` method that returned
\`no such method\`, even though Ollama is one of the most common local
LLM runners and exposes an OpenAI-compatible embeddings endpoint at
\`/v1/embeddings\`.
Ollama users routinely run local embedding models such as
\`nomic-embed-text\`, \`mxbai-embed-large\`, or \`bge-m3\`.
Pulled with \`ollama pull <model>\` and served on the same \`/v1\`
namespace as chat. The existing \`ListModels\` already
discovers them, but because \`Encode\` was a stub, a tenant who picked
one of these models in the Go layer could not
actually run an embedding call.
### What this PR includes
- \`conf/models/ollama.json\`: add \`\"embedding\": \"embeddings\"\`
under \`url_suffix\` so the
driver can build the URL from config.
- \`internal/entity/models/ollama.go\`: replace the \`Encode\` stub with
a real implementation. Adds a small local response
type that matches the OpenAI-compatible shape.
No factory change. No interface change.
### How the driver works
- Validate the model name. The API key is optional for local Ollama, so
the Authorization header is only set when both
\`apiConfig\` and \`ApiKey\` are non-nil and non-empty, the same pattern
the recently merged CheckConnection PR (#14614) uses.
- Resolve the region with a default fallback. Return a clear "missing
base URL" error when the user has not configured
the local access address yet.
- Use a per-call \`context.WithTimeout(30s)\` and
\`http.NewRequestWithContext\`, the same pattern the merged
Aliyun Encode (#14647) uses.
- Send \`{model, input: [texts]}\` in one request.
- Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\`
indexed by \`data[*].index\`, so the output
order matches the input order.
- Handle both \`float64\` and \`float32\` element types.
- Empty input returns \`[][]float64{}\` with no HTTP call.
- Length mismatch between input and result, out-of-range index, and any
missing slot all return clear errors instead
of silent zero vectors.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### How was this tested?
- \`go build ./internal/entity/models/...\` in a clean go 1.25 image
returns exit 0.
- The full method set on \`OllamaModel\` still matches the
\`ModelDriver\` interface.
- Pattern parity with the merged Aliyun Encode (#14647) and the existing
SiliconFlow Encode.
Closes #14662
2026-05-11 06:50:15 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
return embeddings, nil
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) Rerank(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
|
2026-05-06 12:03:58 +08:00
|
|
|
return nil, fmt.Errorf("no such method")
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-12 17:17:44 +08:00
|
|
|
// TranscribeAudio transcribe audio
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
|
2026-05-12 17:17:44 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) TranscribeAudioWithSender(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
|
2026-06-03 14:09:07 +08:00
|
|
|
return fmt.Errorf("%s, no such method", o.Name())
|
2026-05-12 17:17:44 +08:00
|
|
|
}
|
|
|
|
|
|
2026-05-15 18:41:43 +08:00
|
|
|
// AudioSpeech convert text to audio
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
|
2026-05-12 17:17:44 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) AudioSpeechWithSender(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
|
2026-06-03 14:09:07 +08:00
|
|
|
return fmt.Errorf("%s, no such method", o.Name())
|
2026-05-12 17:17:44 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// OCRFile OCR file
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) OCRFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig, modelUsage *common.ModelUsage) (*OCRFileResponse, error) {
|
2026-06-03 14:09:07 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
2026-05-12 17:17:44 +08:00
|
|
|
}
|
|
|
|
|
|
2026-05-15 12:29:52 +08:00
|
|
|
// ParseFile parse file
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) ParseFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig, modelUsage *common.ModelUsage) (*ParseFileResponse, error) {
|
2026-06-03 14:09:07 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
2026-05-15 12:29:52 +08:00
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
|
2026-05-06 12:03:58 +08:00
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
baseURL, err := o.baseModel.GetBaseURL(apiConfig)
|
2026-06-04 17:50:22 +08:00
|
|
|
if err != nil {
|
|
|
|
|
return nil, err
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
fix(go): wire CheckConnection to ListModels in ollama, lm-studio, and vllm (#14614)
### What problem does this PR solve?
Three Go drivers had `CheckConnection` returning a hardcoded `no such
method` error, even though each one already has a working `ListModels`
that hits the configured base URL with the configured API key. So the
"Check connection" button in the model provider UI always failed for
these three providers, even when the underlying setup was fine.
Affected drivers:
- `internal/entity/models/ollama.go`
- `internal/entity/models/lmstudio.go`
- `internal/entity/models/vllm.go`
This is a real user-facing gap because Ollama and LM Studio are two of
the most popular local LLM runners, and vLLM is widely used for
self-hosted deployments.
### What this PR includes
For each of the three drivers, replace the stub with a small
implementation that calls `ListModels` and returns its error:
```go
func (o *OllamaModel) CheckConnection(apiConfig *APIConfig) error {
_, err := o.ListModels(apiConfig)
return err
}
```
This is the exact pattern that xai, moonshot, deepseek, aliyun, and
gitee already use for the same method.
No JSON change. No factory change. No interface change.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### How was this tested?
- `go build ./internal/entity/models/...` in a clean go 1.25 image (the
go.mod minimum) returns exit 0.
- The full ModelDriver interface still resolves on each driver
(NewInstance, Name, ChatWithMessages, ChatStreamlyWithSender, Encode,
Rerank, ListModels, Balance, CheckConnection).
- Pattern parity with the existing xai, moonshot, deepseek, aliyun, and
gitee CheckConnection methods.
Closes #14609
2026-05-08 06:00:10 +02:00
|
|
|
if baseURL == "" {
|
2026-06-17 03:47:27 -07:00
|
|
|
return nil, fmt.Errorf("missing base URL: please configure the local access address for Ollama (e.g., http://127.0.0.1:11434)")
|
fix(go): wire CheckConnection to ListModels in ollama, lm-studio, and vllm (#14614)
### What problem does this PR solve?
Three Go drivers had `CheckConnection` returning a hardcoded `no such
method` error, even though each one already has a working `ListModels`
that hits the configured base URL with the configured API key. So the
"Check connection" button in the model provider UI always failed for
these three providers, even when the underlying setup was fine.
Affected drivers:
- `internal/entity/models/ollama.go`
- `internal/entity/models/lmstudio.go`
- `internal/entity/models/vllm.go`
This is a real user-facing gap because Ollama and LM Studio are two of
the most popular local LLM runners, and vLLM is widely used for
self-hosted deployments.
### What this PR includes
For each of the three drivers, replace the stub with a small
implementation that calls `ListModels` and returns its error:
```go
func (o *OllamaModel) CheckConnection(apiConfig *APIConfig) error {
_, err := o.ListModels(apiConfig)
return err
}
```
This is the exact pattern that xai, moonshot, deepseek, aliyun, and
gitee already use for the same method.
No JSON change. No factory change. No interface change.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### How was this tested?
- `go build ./internal/entity/models/...` in a clean go 1.25 image (the
go.mod minimum) returns exit 0.
- The full ModelDriver interface still resolves on each driver
(NewInstance, Name, ChatWithMessages, ChatStreamlyWithSender, Encode,
Rerank, ListModels, Balance, CheckConnection).
- Pattern parity with the existing xai, moonshot, deepseek, aliyun, and
gitee CheckConnection methods.
Closes #14609
2026-05-08 06:00:10 +02:00
|
|
|
}
|
|
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), o.baseModel.URLSuffix.Models)
|
2026-05-06 12:03:58 +08:00
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
|
2026-06-02 03:27:26 -04:00
|
|
|
defer cancel()
|
|
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
|
2026-05-06 12:03:58 +08:00
|
|
|
if err != nil {
|
|
|
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
req.Header.Set("Content-Type", "application/json")
|
|
|
|
|
|
2026-06-04 17:50:22 +08:00
|
|
|
resp, err := o.baseModel.httpClient.Do(req)
|
2026-05-06 12:03:58 +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("API request failed with status %d: %s", resp.StatusCode, string(body))
|
|
|
|
|
}
|
|
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
// Ollama's /api/tags returns {"models":[{"name":...,"model":...}]}, a shape
|
|
|
|
|
// that differs from the OpenAI list. Decode it into a local struct, map the
|
|
|
|
|
// names into ModelList, then enrich through the shared ParseListModel helper
|
|
|
|
|
// (issue #15853). Using a typed struct also avoids the previous unchecked
|
|
|
|
|
// type assertions, which panicked when "models" was absent or malformed.
|
|
|
|
|
var result struct {
|
|
|
|
|
Models []struct {
|
|
|
|
|
Name string `json:"name"`
|
|
|
|
|
Model string `json:"model"`
|
|
|
|
|
} `json:"models"`
|
|
|
|
|
}
|
2026-05-06 12:03:58 +08:00
|
|
|
if err = json.Unmarshal(body, &result); err != nil {
|
|
|
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
|
|
|
}
|
|
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
modelList := ModelList{Object: "list"}
|
|
|
|
|
for _, m := range result.Models {
|
|
|
|
|
name := strings.TrimSpace(m.Name)
|
|
|
|
|
if name == "" {
|
|
|
|
|
name = strings.TrimSpace(m.Model)
|
|
|
|
|
}
|
|
|
|
|
if name == "" {
|
|
|
|
|
continue
|
|
|
|
|
}
|
2026-07-20 10:50:53 +08:00
|
|
|
modelList.Models = append(modelList.Models, ModelListItem{ID: name})
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
|
|
|
|
|
2026-06-17 03:47:27 -07:00
|
|
|
return ParseListModel(modelList), nil
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) {
|
2026-05-06 12:03:58 +08:00
|
|
|
return nil, fmt.Errorf("no such method")
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-08 15:54:27 +08:00
|
|
|
// CheckConnection verifies that the configured Ollama base URL is reachable
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error {
|
|
|
|
|
_, err := o.ListModels(ctx, apiConfig)
|
2026-05-08 15:54:27 +08:00
|
|
|
return err
|
2026-05-06 12:03:58 +08:00
|
|
|
}
|
2026-05-15 12:29:52 +08:00
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
2026-06-03 14:09:07 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
2026-05-15 12:29:52 +08:00
|
|
|
}
|
|
|
|
|
|
2026-07-22 22:30:57 +08:00
|
|
|
func (o *OllamaModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
2026-06-03 14:09:07 +08:00
|
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
2026-05-15 12:29:52 +08:00
|
|
|
}
|