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GRAPH_STORE_TYPE=TuGraph
TUGRAPH_HOST=127.0.0.1
TUGRAPH_PORT=7687
TUGRAPH_USERNAME=admin
TUGRAPH_PASSWORD=73@TuGraph
GRAPH_COMMUNITY_SUMMARY_ENABLED=True # enable the graph community summary
TRIPLET_GRAPH_ENABLED=True # enable the graph search for the triplets
DOCUMENT_GRAPH_ENABLED=True # enable the graph search for documents and chunks
KNOWLEDGE_GRAPH_CHUNK_SEARCH_TOP_SIZE=5 # the number of the searched triplets in a retrieval
KNOWLEDGE_GRAPH_EXTRACTION_BATCH_SIZE=20 # the batch size of triplet extraction from the text
GRAPH_STORE_TYPE=TuGraph
TUGRAPH_HOST=127.0.0.1
TUGRAPH_PORT=7687
TUGRAPH_USERNAME=admin
TUGRAPH_PASSWORD=73@TuGraph
GRAPH_COMMUNITY_SUMMARY_ENABLED=True # enable the graph community summary
TRIPLET_GRAPH_ENABLED=True # enable the graph search for the triplets
DOCUMENT_GRAPH_ENABLED=True # enable the graph search for documents and chunks
KNOWLEDGE_GRAPH_CHUNK_SEARCH_TOP_SIZE=5 # the number of the searched triplets in a retrieval
KNOWLEDGE_GRAPH_EXTRACTION_BATCH_SIZE=20 # the batch size of triplet extraction from the text
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Operating system information
MacOS(M1, M2...)
Python version information
3.10
DB-GPT version
main
Related scenes
Installation Information
Installation From Source
Docker Installation
Docker Compose Installation
Cluster Installation
AutoDL Image
Other
Device information
CPU
Models information
LLM:qwen-72B
embedding: bge-large-zh
What happened
创建TuGraph知识库的时候不会创建 chunk node 和 document node,
创建的结构如下
What you expected to happen
应该在创建完成后,创建chunk node 和 document node
How to reproduce
使用的Markdown文件如下构建TuGraph知识库
小红帽的故事.md
Additional context
No response
Are you willing to submit PR?
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