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Linux
=3.11
main
Installation From Source
Docker Installation
Docker Compose Installation
Cluster Installation
AutoDL Image
Other
GPU:1 vram:24G
LLM: DeepSeek-R1-Distill-Qwen-1.5B Embedding: text2vec-large-chinese
构建知识库时,选用 Vector Store形式存储知识库时,可正常切片,没有问题; 选用Knowledge Graph时,切片报错“'BuiltinKnowledgeGraphConfig' object does not support item assignment”;
dbgpt已更新至main最新版本
最新版本部署
No response
The text was updated successfully, but these errors were encountered:
http://docs.dbgpt.cn/docs/next/installation/integrations/graph_rag_install
uv sync --all-packages --frozen \ --extra "base" \ --extra "proxy_openai" \ --extra "rag" \ --extra "storage_chromadb" \ --extra "dbgpts" --extra "graph_rag"
uv run python packages/dbgpt-app/src/dbgpt_app/dbgpt_server.py --config configs/dbgpt-graphrag.toml
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Operating system information
Linux
Python version information
DB-GPT version
main
Related scenes
Installation Information
Installation From Source
Docker Installation
Docker Compose Installation
Cluster Installation
AutoDL Image
Other
Device information
GPU:1
vram:24G
Models information
LLM: DeepSeek-R1-Distill-Qwen-1.5B
Embedding: text2vec-large-chinese
What happened
构建知识库时,选用 Vector Store形式存储知识库时,可正常切片,没有问题;
选用Knowledge Graph时,切片报错“'BuiltinKnowledgeGraphConfig' object does not support item assignment”;
What you expected to happen
dbgpt已更新至main最新版本
How to reproduce
最新版本部署
Additional context
No response
Are you willing to submit PR?
The text was updated successfully, but these errors were encountered: