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fix(Go-models): preserve model name lookup when aliases exist (#15969)

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### What problem does this PR solve?

As title

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
This commit is contained in:
Haruko386
2026-06-12 19:15:28 +08:00
committed by GitHub
parent b5a426e6e0
commit 547139da29
3 changed files with 124 additions and 108 deletions
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6
conf/models/gitee.json
View File

@@ -71,6 +71,12 @@
"ocr"
]
},
{
"name": "jina-clip-v2",
"model_types": [
"embedding"
]
},
{
"name": "HunyuanOCR",
"model_types": [

185
internal/development.md
View File

@@ -67,30 +67,30 @@ $ ./ragflow_cli
Welcome to RAGFlow CLI
Type \? for help, \q to quit
RAGFlow(user)> REGISTER USER 'aaa@aaa.com' AS 'aaa' PASSWORD 'aaa';
RAGFlow(api/default)> REGISTER USER 'aaa@aaa.com' AS 'aaa' PASSWORD 'aaa';
Register successfully
RAGFlow(user)> login user 'aaa@aaa.com';
RAGFlow(api/default)> login user 'aaa@aaa.com';
password for aaa@aaa.com: Password:
Login user aaa@aaa.com successfully
RAGFlow(user)> logout;
RAGFlow(api/default)> logout;
SUCCESS
```
### 6.2. List currently supported providers
```
RAGFlow(user)> list available providers;
RAGFlow(api/default)> list available providers;
```
### 6.3. Add or delete a provider for the current tenant
```
RAGFlow(user)> add provider 'openai';
RAGFlow(api/default)> add provider 'openai';
```
```
RAGFlow(user)> delete provider 'openai';
RAGFlow(api/default)> delete provider 'openai';
```
### 6.4. Create a model instance for a specific provider
```
RAGFlow(user)> create provider 'openai' instance 'instance_name' key 'api-key';
RAGFlow(api/default)> create provider 'openai' instance 'instance_name' key 'api-key';
```
Note: The api-key is a valid API key that needs to be applied for. You can create multiple instances for the same model provider, each with a different API key.
@@ -98,55 +98,55 @@ Note: The api-key is a valid API key that needs to be applied for. You can creat
For locally deployed models (e.g., ollama, vLLM), use the following command to add a model instance:
```
RAGFlow(user)> create provider 'vllm' instance 'instance_name' key '' url 'http://192.168.1.96:8123/v1';
RAGFlow(api/default)> create provider 'vllm' instance 'instance_name' key '' url 'http://192.168.1.96:8123/v1';
```
### 6.5. List and delete an instance
```
RAGFlow(user)> list instances from 'openai';
RAGFlow(api/default)> list instances from 'openai';
```
```
RAGFlow(user)> drop instance 'instance_name' from 'openai';
RAGFlow(api/default)> drop instance 'instance_name' from 'openai';
```
### 6.6. List models supported by a model instance
```
RAGFlow(user)> list models from 'openai' 'instance_name';
RAGFlow(api/default)> list models from 'openai' 'instance_name';
```
### 6.7. Chat with LLM
- Chat
```
RAGFlow(user)> chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
RAGFlow(api/default)> chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
Answer: A large language model is an AI trained on vast text data to understand, generate, and refine human-like language.
Time: 1.052269
```
- Chat with Thinking (Reasoning)
```
RAGFlow(user)> think chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
RAGFlow(api/default)> think chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
Thinking: I need to create a concise 20-word introduction to LLMs...
Answer: Large Language Models are AI systems trained on vast datasets, enabling human-like text generation, comprehension, and problem-solving across diverse applications.
Time: 11.592358
```
- Streaming Chat
```
RAGFlow(user)> stream chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
RAGFlow(api/default)> stream chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
Answer: Language Models are advanced AI systems. They process text to learn, generate human-like responses, and perform diverse tasks through machine learning.
Time: 2.615930
```
- Streaming Chat with Thinking
```
RAGFlow(user)> stream think chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
RAGFlow(api/default)> stream think chat with 'glm-4.5-flash@test@zhipu-ai' message '20 words introduce LLM';
Thinking: The user is asking for a very concise introduction to LLMs...
Answer: language models are AI systems trained on vast text datasets to understand and generate human-like text for diverse tasks.
Time: 11.958035
```
- Image Understanding
```
RAGFlow(user)> chat with 'glm-4.6v-flash@test@zhipu-ai' message 'What are the pics talk about?' image 'https://cdn.bigmodel.cn/static/logo/register.png' 'https://cdn.bigmodel.cn/static/logo/api-key.png'
RAGFlow(api/default)> chat with 'glm-4.6v-flash@test@zhipu-ai' message 'What are the pics talk about?' image 'https://cdn.bigmodel.cn/static/logo/register.png' 'https://cdn.bigmodel.cn/static/logo/api-key.png'
Answer: The first picture shows a login/register modal... The second picture displays the API keys management page...
Time: 31.600545
```
- Video Understanding
```
RAGFlow(user)> chat with 'glm-4.6v-flash@test@zhipu-ai' message 'What are the video talk about?' video 'https://cdn.bigmodel.cn/agent-demos/lark/113123.mov'
RAGFlow(api/default)> chat with 'glm-4.6v-flash@test@zhipu-ai' message 'What are the video talk about?' video 'https://cdn.bigmodel.cn/agent-demos/lark/113123.mov'
Answer: Based on the sequence of frames provided, the video is a demonstration of a web search and navigation process...
Time: 76.582520
```
@@ -154,34 +154,39 @@ Note: Both image and video understanding support streaming and thinking modes as
### 6.8. Generate Embeddings
```
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'embedding-3@test@zhipu-ai' dimension 16;
RAGFlow(api/default)> embed text 'what is rag' 'who are you' with 'embedding-3@test@zhipu-ai' dimension 16;
```
### 6.9. Document Reranking
```
RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank@test@zhipu-ai' top 2;
RAGFlow(api/default)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank@test@zhipu-ai' top 2;
```
### 6.10. Get supported models from provider API
```
RAGFlow(user)> list supported models from 'minimax' 'test';
+------------------------+
| model_name |
+------------------------+
| MiniMax-M2.7 |
| MiniMax-M2.7-highspeed |
| MiniMax-M2.5 |
| MiniMax-M2.5-highspeed |
| MiniMax-M2.1 |
| MiniMax-M2.1-highspeed |
| MiniMax-M2 |
+------------------------+
RAGFlow(api/default)> list supported models from 'gitee' 'test';
+-----------+---------------------------+---------------+------------+-----------------------------------------------------------------+----------------------------------------------------------+---------------------------------------------+
| dimension | dimensions | max_dimension | max_tokens | model_types | name | thinking |
+-----------+---------------------------+---------------+------------+-----------------------------------------------------------------+----------------------------------------------------------+---------------------------------------------+
| | | | | | bce-embedding-base_v1@maidalun1020 | |
| | | | | | bce-embedding-base_v1@maidalun1020 | |
| | | | 8192 | [rerank] | jina-reranker-m0@jinaai | |
| | | | 8192 | [rerank] | jina-reranker-m0@jinaai | |
| | [64 128 256 512 768] | | 8192 | [embedding vision] | jina-clip-v1@jinaai | |
| | [64 128 256 512 768] | | 8192 | [embedding vision] | jina-clip-v1@jinaai | |
| | | | 32768 | [chat] | Qwen2.5-Coder-14B-Instruct@Qwen | |
| | | | 32768 | [chat] | Qwen2.5-Coder-14B-Instruct@Qwen | |
| | [64 128 256 512 768 1024] | | 8192 | [embedding vision] | jina-clip-v2@jinaai | |
| | | | 262144 | [chat image2text vision video_understanding] | Qwen3.6-27B@Qwen | map[clear_thinking:true default_value:true] |
| | | | 262144 | [chat image2text vision video_understanding] | Qwen3.6-27B@Qwen | map[clear_thinking:true default_value:true] |
| | | | 32768 | [rerank] | Qwen3-Reranker-0.6B@Qwen | |
+-----------+---------------------------+---------------+------------+-----------------------------------------------------------------+----------------------------------------------------------+---------------------------------------------+
```
### 6.11. Get preset models of a provider
```
RAGFlow(user)> list models from 'minimax';
RAGFlow(api/default)> list models from 'minimax';
+------------+-------------+------------------------+
| max_tokens | model_types | name |
+------------+-------------+------------------------+
@@ -199,7 +204,7 @@ RAGFlow(user)> list models from 'minimax';
### 6.12. List instances of a provider
```
RAGFlow(user)> list instances from 'zhipu-ai';
RAGFlow(api/default)> list instances from 'zhipu-ai';
+---------+----------------------+----------------------------------+--------------+----------------------------------+--------+
| apiKey | extra | id | instanceName | providerID | status |
+---------+----------------------+----------------------------------+--------------+----------------------------------+--------+
@@ -209,7 +214,7 @@ RAGFlow(user)> list instances from 'zhipu-ai';
### 6.13. Show instance of a provider
```
RAGFlow(user)> show instance 'test' from 'zhipu-ai';
RAGFlow(api/default)> show instance 'test' from 'zhipu-ai';
+----------------------------------+--------------+----------------------------------+---------+--------+
| id | instanceName | providerID | region | status |
+----------------------------------+--------------+----------------------------------+---------+--------+
@@ -220,7 +225,7 @@ RAGFlow(user)> show instance 'test' from 'zhipu-ai';
### 6.14. List models of a specific instance
```
RAGFlow(user)> list models from 'minimax' 'test';
RAGFlow(api/default)> list models from 'minimax' 'test';
+------------+-------------+------------------------+--------+
| max_tokens | model_types | name | status |
+------------+-------------+------------------------+--------+
@@ -237,7 +242,7 @@ RAGFlow(user)> list models from 'minimax' 'test';
### 6.15. List added providers
```
RAGFlow(user)> list providers;
RAGFlow(api/default)> list providers;
+--------------------------------------------------------------------------+-------------+--------------+
| base_url | name | total_models |
+--------------------------------------------------------------------------+-------------+--------------+
@@ -250,45 +255,45 @@ RAGFlow(user)> list providers;
### 6.16. Deactivate / activate a model
```
RAGFlow(user)> disable model 'deepseek-v4-pro' from 'deepseek' 'test';
RAGFlow(api/default)> disable model 'deepseek-v4-pro' from 'deepseek' 'test';
SUCCESS
RAGFlow(user)> list models from 'deepseek' 'test';
RAGFlow(api/default)> list models from 'deepseek' 'test';
+------------+-------------+-------------------+----------+
| max_tokens | model_types | name | status |
+------------+-------------+-------------------+----------+
| 1048576 | [chat] | deepseek-v4-flash | active |
| 1048576 | [chat] | deepseek-v4-pro | inactive |
+------------+-------------+-------------------+----------+
RAGFlow(user)> enable model 'deepseek-v4-pro' from 'deepseek' 'test';
RAGFlow(api/default)> enable model 'deepseek-v4-pro' from 'deepseek' 'test';
SUCCESS
```
### 6.17. Set current model
```
RAGFlow(user)> use model 'glm-4.5-flash@test@zhipu-ai';
RAGFlow(api/default)> use model 'glm-4.5-flash@test@zhipu-ai';
SUCCESS
RAGFlow(user)> chat message '20 words introduce LLM';
RAGFlow(api/default)> chat message '20 words introduce LLM';
Answer: Large language models are advanced AI systems. They process text to understand, generate, and refine human-like language for countless tasks.
Time: 1.680416
```
### 6.18. Set, reset, and list default models
```
RAGFlow(user)> set default chat model 'zhipu-ai/test/glm-4.5-flash';
RAGFlow(api/default)> set default chat model 'zhipu-ai/test/glm-4.5-flash';
SUCCESS
RAGFlow(user)> set default vision model 'zhipu-ai/test/glm-4.5v';
RAGFlow(api/default)> set default vision model 'zhipu-ai/test/glm-4.5v';
SUCCESS
RAGFlow(user)> set default embedding model 'zhipu-ai/test/embedding-2';
RAGFlow(api/default)> set default embedding model 'zhipu-ai/test/embedding-2';
SUCCESS
RAGFlow(user)> set default rerank model 'zhipu-ai/test/rerank';
RAGFlow(api/default)> set default rerank model 'zhipu-ai/test/rerank';
SUCCESS
RAGFlow(user)> set default ocr model 'zhipu-ai/test/glm-ocr';
RAGFlow(api/default)> set default ocr model 'zhipu-ai/test/glm-ocr';
SUCCESS
RAGFlow(user)> set default tts model 'zhipu-ai/test/glm-tts';
RAGFlow(api/default)> set default tts model 'zhipu-ai/test/glm-tts';
SUCCESS
RAGFlow(user)> set default asr model 'zhipu-ai/test/glm-asr-2512';
RAGFlow(api/default)> set default asr model 'zhipu-ai/test/glm-asr-2512';
SUCCESS
RAGFlow(user)> list default models;
RAGFlow(api/default)> list default models;
+--------+----------------+---------------+----------------+------------+
| enable | model_instance | model_name | model_provider | model_type |
+--------+----------------+---------------+----------------+------------+
@@ -300,11 +305,11 @@ RAGFlow(user)> list default models;
| true | test | glm-ocr | zhipu-ai | ocr |
| true | test | glm-tts | zhipu-ai | tts |
+--------+----------------+---------------+----------------+------------+
RAGFlow(user)> reset default embedding model;
RAGFlow(api/default)> reset default embedding model;
SUCCESS
RAGFlow(user)> reset default chat model
RAGFlow(api/default)> reset default chat model
SUCCESS
RAGFlow(user)> list default models;
RAGFlow(api/default)> list default models;
+--------+----------------+--------------+----------------+------------+
| enable | model_instance | model_name | model_provider | model_type |
+--------+----------------+--------------+----------------+------------+
@@ -318,7 +323,7 @@ RAGFlow(user)> list default models;
### 6.19. Show current balance of a provider instance
```
RAGFlow(user)> show balance from 'gitee' 'test';
RAGFlow(api/default)> show balance from 'gitee' 'test';
+-------------+----------+
| balance | currency |
+-------------+----------+
@@ -328,27 +333,27 @@ RAGFlow(user)> show balance from 'gitee' 'test';
### 6.20. Check provider instance availability
```
RAGFlow(user)> check instance 'test' from 'zhipu-ai';
RAGFlow(api/default)> check instance 'test' from 'zhipu-ai';
SUCCESS
```
### 6.21. Add local model to RAGFlow, only for local deployed inference server, such as ollama
```
RAGFlow(user)> add model 'Qwen/Qwen2.5-0.5B' to provider 'vllm' instance 'test' with tokens 131072 chat;
RAGFlow(api/default)> add model 'Qwen/Qwen2.5-0.5B' to provider 'vllm' instance 'test' with tokens 131072 chat;
SUCCESS
RAGFlow(user)> list models from 'vllm' 'test';
RAGFlow(api/default)> list models from 'vllm' 'test';
+-------------------+--------+
| name | status |
+-------------------+--------+
| Qwen/Qwen2.5-0.5B | active |
+-------------------+--------+
RAGFlow(user)> drop model 'Qwen/Qwen2.5-0.5B' from 'vllm' 'test';
RAGFlow(api/default)> drop model 'Qwen/Qwen2.5-0.5B' from 'vllm' 'test';
SUCCESS
```
### 6.22. List datasets
```
RAGFlow(user)> list datasets;
RAGFlow(api/default)> list datasets;
+-------------+--------------+----------------+----------------------+----------------------------------+----------+------+----------+------------+----------------------------------+-----------+---------------+
| chunk_count | chunk_method | document_count | embedding_model | id | language | name | nickname | permission | tenant_id | token_num | update_time |
+-------------+--------------+----------------+----------------------+----------------------------------+----------+------+----------+------------+----------------------------------+-----------+---------------+
@@ -359,14 +364,14 @@ RAGFlow(user)> list datasets;
### 6.23 Text to Speech
```
RAGFlow(user)> tts with 'speech-2.8-hd@test@minimax' text 'He who desires but acts not, breeds pestilence.' play format 'wav' save './internal' param '{"voice_setting": {"voice_id": "English_radiant_girl", "speed": 1, "vol": 1, "pitch": 0}, "audio_setting": {"sample_rate": 32000, "bitrate": 128000, "format": "wav", "channel": 1}, "output_format": "hex"}'
RAGFlow(api/default)> tts with 'speech-2.8-hd@test@minimax' text 'He who desires but acts not, breeds pestilence.' play format 'wav' save './internal' param '{"voice_setting": {"voice_id": "English_radiant_girl", "speed": 1, "vol": 1, "pitch": 0}, "audio_setting": {"sample_rate": 32000, "bitrate": 128000, "format": "wav", "channel": 1}, "output_format": "hex"}'
Saved to directory: /home/infiniflow/Documents/development/ragflow/internal/speech-2.8-hd_output.wav
SUCCESS
```
### 6.24 Audio to Speech
```
RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param ''
RAGFlow(api/default)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param ''
+----------------------------------------------------------------------------------------------------------------------+
| text |
+----------------------------------------------------------------------------------------------------------------------+
@@ -376,7 +381,7 @@ RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './
### 6.25 Optical Character Recognition\
```
RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
RAGFlow(api/default)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -388,63 +393,63 @@ RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg
- Create a chunk store with vector size
```
RAGFlow(user)> CREATE CHUNK STORE FOR DATASET 'test' VECTOR SIZE 384
RAGFlow(api/default)> CREATE CHUNK STORE FOR DATASET 'test' VECTOR SIZE 384
```
- Insert data from JSON files
```
RAGFlow(user)> INSERT CHUNKS FROM FILE 'insert_kb.json'
RAGFlow(api/default)> INSERT CHUNKS FROM FILE 'insert_kb.json'
```
- Update a chunk's content
```
RAGFlow(user)> UPDATE CHUNK 'deb165dc6a732a64' OF DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test' SET '{"content": "Updated chunk content here", "important_keywords": ["keyword1", "keyword2"], "questions": ["What is this about?", "Why is it important?"], "available": true, "tag_kwd": ["tag5", "tag2"]}'
RAGFlow(api/default)> UPDATE CHUNK 'deb165dc6a732a64' OF DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test' SET '{"content": "Updated chunk content here", "important_keywords": ["keyword1", "keyword2"], "questions": ["What is this about?", "Why is it important?"], "available": true, "tag_kwd": ["tag5", "tag2"]}'
```
- Remove tags from a dataset
```
RAGFlow(user)> REMOVE TAGS 'tag1', 'tag2' FROM DATASET 'test'
RAGFlow(api/default)> REMOVE TAGS 'tag1', 'tag2' FROM DATASET 'test'
```
- Remove specific chunks from a document
```
RAGFlow(user)> REMOVE CHUNKS '29cc4f6d7a5c6e7c' '0360e3d8519eab12' FROM DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
RAGFlow(api/default)> REMOVE CHUNKS '29cc4f6d7a5c6e7c' '0360e3d8519eab12' FROM DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
```
- Remove all chunks from a document
```
RAGFlow(user)> REMOVE ALL CHUNKS FROM DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
RAGFlow(api/default)> REMOVE ALL CHUNKS FROM DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
```
- Drop chunk store
```
RAGFlow(user)> DROP CHUNK STORE FOR DATASET 'test'
RAGFlow(api/default)> DROP CHUNK STORE FOR DATASET 'test'
```
- Search chunks
```
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test'
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test'
```
- Get chunks
```
RAGFlow(user)> GET CHUNK '29cc4f6d7a5c6e7c' OF DATASET 'test' DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
RAGFlow(api/default)> GET CHUNK '29cc4f6d7a5c6e7c' OF DATASET 'test' DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' IN DATASET 'test'
```
### 6.27 Metadata Management Commands
- Create metadata store
```
RAGFlow(user)> CREATE METADATA STORE
RAGFlow(api/default)> CREATE METADATA STORE
```
- Insert metadata from JSON files
```
RAGFlow(user)> INSERT METADATA FROM FILE 'insert_metadata.json'
RAGFlow(api/default)> INSERT METADATA FROM FILE 'insert_metadata.json'
```
- Set metadata for a document
```
RAGFlow(user)> SET METADATA OF DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' TO '{"author": ["John", "Tom"], "category": "tech"}';
RAGFlow(api/default)> SET METADATA OF DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' TO '{"author": ["John", "Tom"], "category": "tech"}';
```
- Delete metadata of a document
@@ -459,45 +464,45 @@ DELETE METADATA OF DOCUMENT 'bbe55942535e11f1bc5184ba59049aa3' KEYS '["key1", "k
- Drop metadata store
```
RAGFlow(user)> DROP METADATA STORE
RAGFlow(api/default)> DROP METADATA STORE
```
- Get metadata
```
RAGFlow(user)> GET METADATA OF DATASET 'test' 'test2'
RAGFlow(api/default)> GET METADATA OF DATASET 'test' 'test2'
```
### 6.28 Search datasets
- Search datasets
```
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test1' 'test2';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test1' 'test2';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH top_k 1;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH top_k 1;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH page 2 page_size 20;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH page 2 page_size 20;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH similarity_threshold 0.5;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH similarity_threshold 0.5;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH vector_similarity_weight 0.0;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH vector_similarity_weight 0.0;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH keyword true;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH keyword true;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH use_kg true;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH use_kg true;
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH rerank_id 'BAAI/bge-reranker-v2-m3@CI@SILICONFLOW';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH rerank_id 'BAAI/bge-reranker-v2-m3@CI@SILICONFLOW';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH search_id 'abc123';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH search_id 'abc123';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH cross_languages ['Chinese'];
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH cross_languages ['Chinese'];
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH doc_ids ['doc_a', 'doc_b'];
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH doc_ids ['doc_a', 'doc_b'];
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH meta_data_filter '{"method":"auto"}';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH meta_data_filter '{"method":"auto"}';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH meta_data_filter '{"method":"manual","conditions":[{"key":"author","op":"eq","value":"Luo"}]}';
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH meta_data_filter '{"method":"manual","conditions":[{"key":"author","op":"eq","value":"Luo"}]}';
RAGFlow(user)> SEARCH 'AI' ON DATASETS 'test' WITH top_k 50 similarity_threshold 0.5 vector_similarity_weight 0.5 use_kg true;
RAGFlow(api/default)> SEARCH 'AI' ON DATASETS 'test' WITH top_k 50 similarity_threshold 0.5 vector_similarity_weight 0.5 use_kg true;
```

41
internal/entity/models/model.go
View File

@@ -312,15 +312,24 @@ func InitProviderManager(dirPath string) error {
alias2ModelIndex := make(map[string]int)
for idx, model := range allModels.Models {
if model.Alias == nil {
alias2ModelIndex[strings.ToLower(model.Name)] = idx
} else {
for _, alias := range model.Alias {
lowerAlias := strings.ToLower(alias)
if existingIdx, ok := alias2ModelIndex[lowerAlias]; ok && existingIdx != idx {
return fmt.Errorf("duplicate alias %q for models %q and %q", alias, allModels.Models[existingIdx].Name, model.Name)
}
alias2ModelIndex[lowerAlias] = idx
addModelAlias := func(alias string) error {
alias = strings.TrimSpace(alias)
if alias == "" {
return nil
}
lowerAlias := strings.ToLower(alias)
if existingIdx, ok := alias2ModelIndex[lowerAlias]; ok && existingIdx != idx {
return fmt.Errorf("duplicate alias %q for models %q and %q", alias, allModels.Models[existingIdx].Name, model.Name)
}
alias2ModelIndex[lowerAlias] = idx
return nil
}
if err = addModelAlias(model.Name); err != nil {
return err
}
for _, alias := range model.Alias {
if err = addModelAlias(alias); err != nil {
return err
}
}
}
@@ -440,15 +449,11 @@ func (pm *ProviderManager) ListModels(providerName string) ([]map[string]interfa
modelList := []map[string]interface{}{}
for _, model := range provider.Models {
modelData := map[string]interface{}{
"name": model.Name,
"max_tokens": model.MaxTokens,
"model_types": model.ModelTypes,
}
if model.MaxDimension != nil {
modelData["max_dimension"] = *model.MaxDimension
}
if len(model.Dimensions) > 0 {
modelData["dimensions"] = model.Dimensions
"name": model.Name,
"max_tokens": model.MaxTokens,
"model_types": model.ModelTypes,
"max_dimension": model.MaxDimension,
"dimensions": model.Dimensions,
}
modelList = append(modelList, modelData)
}