gmakstutis/LightRAG
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5135 commits 5 branches 72 tags 705 MiB
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22 commits

Author SHA1 Message Date
Giulio Grassia
7be24a3c60 feat (metadata): Add custom metadata support for node properties and querying 
- Implement custom metadata insertion as node properties during file upload.
- Add basic metadata filtering functionality to query API

--NOTE: While the base.py file has been modified, the base implementation is incomplete and untested. Only Neo4j database has been properly implemented and tested.

WIP: Query API is temporarily mocked for debugging. Full implementation with complex AND/OR filtering capabilities is in development.

# Conflicts:
#	lightrag/base.py
#	lightrag/lightrag.py
#	lightrag/operate.py
 2025-09-25 15:37:50 +02:00
yangdx
b848ca49e6 Fix linting 2025-09-25 16:22:00 +08:00
yangdx
b08b8a6a6a Add reference list support to query API endpoints with unified result handling 
• Add include_references param to QueryRequest
• Extend QueryResponse with references field
• Create unified QueryResult data structures
• Refactor kg_query and naive_query functions
• Update streaming to send references first
 2025-09-25 16:21:42 +08:00
yangdx
699ca3ba00 Remove deprecated history_turns and ids parameters from query API endpoint 
• Update QueryParam documentation
• Mark history_turns as deprecated
• Clean up splash screen display
• Clarify conversation_history usage
 2025-09-25 04:58:57 +08:00
yangdx
5eb4a4b799 feat: simplify citations, add reference merging, and restructure API response format 2025-09-24 14:30:10 +08:00
yangdx
c0d5abba6b Fix linting 2025-09-15 02:59:21 +08:00
yangdx
b1c8206346 Add aquery_data endpoint for structured retrieval without LLM generation 
- Add QueryDataResponse model
- Implement /query/data endpoint
- Add aquery_data method to LightRAG
- Return entities, relationships, chunks
 2025-09-15 02:15:14 +08:00
yangdx
99527027de feat: change default query mode from hybrid to mix 
- Update default mode for Ollama chat endpoint
- Update default mode for query endpoint of LightRAG
 2025-07-17 19:21:15 +08:00
zrguo
7c882313bb remove chunk_rerank_top_k 2025-07-15 11:52:34 +08:00
zrguo
ef2115d437 Update token limit 2025-07-14 15:53:48 +08:00
zrguo
d4651d59c1 Add rerank to server 2025-07-08 21:44:20 +08:00
yangdx
0f51ec48f1 fix: streaming error when only_need_context=True returns empty results 
Prevents NoneType async iteration error by handling None responses
in stream_generator and ensuring kg_query returns valid strings.
 2025-06-28 09:18:06 +08:00
yangdx
bb27bb4309 Fix linting 2025-05-22 09:59:53 +08:00
yumpyy
4d806a1263
feat(api): update endpoint to support new parameter 
Update the API server to support the new parameter from the core library (PR #1032).
 2025-05-21 15:50:05 +05:30
yangdx
d914de441e Add user_prompt to WebUI 2025-05-08 04:15:21 +08:00
yangdx
147f73002d Remove ll-keywords and hl-keywords from WebUI 2025-05-07 19:07:31 +08:00
choizhang
a12d60e4ea feat: Add query mode 'bypass' to bypass knowledge retrieval and directly use LLM 2025-04-11 02:57:34 +08:00
yangdx
90ef55960d Refactor authentication and whitelist handling 
- Combined auth and API key dependencies
- Optimized whitelist path matching
- Added optional API key to OllamaAPI
 2025-03-24 05:23:40 +08:00
Milin
63aa4f9dfc feat(api): Add user authentication functionality 
- Implement JWT-based user authentication logic
- Add login endpoint and token validation middleware
- Update API routes with authentication dependencies
- Add authentication-related environment variables
- Optimize requirements.txt with necessary dependencies
 2025-03-05 11:09:31 +08:00
yangdx
9ba12a4f31 refactor: remove redundant top_k checks in query routes 
The top_k parameter already has a default value set in the QueryParam class (base.py), making these checks unnecessary. This change simplifies the code while maintaining the same functionality.

Changes:

Remove top_k check in query_text function
Remove top_k check in query_text_stream function
 2025-02-21 18:53:43 +08:00
yangdx
a8abcf14ac Fit linting 2025-02-20 04:12:21 +08:00
yangdx
c0c87edc45 split lightrag_servery.py to smaller files 2025-02-20 03:26:39 +08:00