updated docs
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43
README.md
43
README.md
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@ -278,7 +278,7 @@ A full list of LightRAG init parameters:
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| **workspace** | str | Workspace name for data isolation between different LightRAG Instances | |
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| **kv_storage** | `str` | Storage type for documents and text chunks. Supported types: `JsonKVStorage`,`PGKVStorage`,`RedisKVStorage`,`MongoKVStorage` | `JsonKVStorage` |
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| **vector_storage** | `str` | Storage type for embedding vectors. Supported types: `NanoVectorDBStorage`,`PGVectorStorage`,`MilvusVectorDBStorage`,`ChromaVectorDBStorage`,`FaissVectorDBStorage`,`MongoVectorDBStorage`,`QdrantVectorDBStorage` | `NanoVectorDBStorage` |
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| **graph_storage** | `str` | Storage type for graph edges and nodes. Supported types: `NetworkXStorage`,`Neo4JStorage`,`PGGraphStorage`,`AGEStorage` | `NetworkXStorage` |
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| **graph_storage** | `str` | Storage type for graph edges and nodes. Supported types: `NetworkXStorage`,`Neo4JStorage`,`PGGraphStorage`,`MemgraphStorage`,`TigerGraphStorage` | `NetworkXStorage` |
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| **doc_status_storage** | `str` | Storage type for documents process status. Supported types: `JsonDocStatusStorage`,`PGDocStatusStorage`,`MongoDocStatusStorage` | `JsonDocStatusStorage` |
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| **chunk_token_size** | `int` | Maximum token size per chunk when splitting documents | `1200` |
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| **chunk_overlap_token_size** | `int` | Overlap token size between two chunks when splitting documents | `100` |
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@ -767,7 +767,8 @@ MongoKVStorage MongoDB
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NetworkXStorage NetworkX (default)
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Neo4JStorage Neo4J
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PGGraphStorage PostgreSQL with AGE plugin
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MemgraphStorage. Memgraph
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MemgraphStorage Memgraph
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TigerGraphStorage TigerGraph
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```
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> Testing has shown that Neo4J delivers superior performance in production environments compared to PostgreSQL with AGE plugin.
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@ -916,6 +917,44 @@ async def initialize_rag():
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</details>
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<details>
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<summary> <b>Using TigerGraph for Storage</b> </summary>
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* TigerGraph is a high-performance, distributed graph database with native GSQL query language.
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* You can run TigerGraph locally using Docker for easy testing:
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* See: https://www.tigergraph.com/developer/
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```python
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export TIGERGRAPH_URI="http://localhost:9000"
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export TIGERGRAPH_USERNAME="tigergraph"
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export TIGERGRAPH_PASSWORD="tigergraph"
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export TIGERGRAPH_GRAPH_NAME="lightrag_graph"
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# Setup logger for LightRAG
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setup_logger("lightrag", level="INFO")
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# When you launch the project, override the default KG: NetworkX
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# by specifying graph_storage="TigerGraphStorage".
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# Note: Default settings use NetworkX
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# Initialize LightRAG with TigerGraph implementation.
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async def initialize_rag():
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rag = LightRAG(
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working_dir=WORKING_DIR,
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llm_model_func=gpt_4o_mini_complete, # Use gpt_4o_mini_complete LLM model
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graph_storage="TigerGraphStorage", #<-----------override KG default
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)
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# Initialize database connections
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await rag.initialize_storages()
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# Initialize pipeline status for document processing
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await initialize_pipeline_status()
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return rag
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```
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</details>
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<details>
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<summary> <b>Using MongoDB Storage</b> </summary>
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@ -370,6 +370,11 @@ NEO4J_LIVENESS_CHECK_TIMEOUT=30
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NEO4J_KEEP_ALIVE=true
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# NEO4J_WORKSPACE=forced_workspace_name
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### Configuration
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TIGERGRAPH_URI=https://localhost:9000
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TIGERGRAPH_USERNAME=tigergraph
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TIGERGRAPH_PASSWORD=tigergraph
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### MongoDB Configuration
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MONGO_URI=mongodb://root:root@localhost:27017/
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#MONGO_URI=mongodb+srv://xxxx
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@ -11,6 +11,7 @@ Supported graph storage types include:
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- MongoDBStorage
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- PGGraphStorage
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- MemgraphStorage
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- TigerGraphStorage
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"""
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import asyncio
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