Aries-ckt
commented
1 month ago Can you show some log here or debug at knowledge_graph.py
async def asimilar_search_with_scores(
self,
text,
topk,
score_threshold: float,
filters: Optional[MetadataFilters] = None,
) -> List[Chunk]:
"""Search neighbours on knowledge graph."""
if not filters:
logger.info("Filters on knowledge graph not supported yet")
# extract keywords and explore graph store
keywords = await self._keyword_extractor.extract(text)
subgraph = self._graph_store.explore(keywords, limit=topk)
logger.info(f"Search subgraph from {len(keywords)} keywords")
content = (
"The following vertices and edges data after [Subgraph Data] "
"are retrieved from the knowledge graph based on the keywords:\n"
f"Keywords:\n{','.join(keywords)}\n"
"---------------------\n"
"You can refer to the sample vertices and edges to understand "
"the real knowledge graph data provided by [Subgraph Data].\n"
"Sample vertices:\n"
"(alice)\n"
"(bob:{age:28})\n"
'(carry:{age:18;role:"teacher"})\n\n'
"Sample edges:\n"
"(alice)-[reward]->(alice)\n"
'(alice)-[notify:{method:"email"}]->'
'(carry:{age:18;role:"teacher"})\n'
'(bob:{age:28})-[teach:{course:"math";hour:180}]->(alice)\n'
"---------------------\n"
f"Subgraph Data:\n{subgraph.format()}\n"
)
return [Chunk(content=content, metadata=subgraph.schema())]
Jacknolfskin
Search before asking
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
[X] Other
Device information
本地
Models information
LLM：通义千问，emding：text2vec-large-chinese
What happened
我成功构建了知识图谱，但是在chat时候总是找不到
What you expected to happen
能够正常查询到知识图谱中的内容
How to reproduce
能够正常查询到知识图谱中的内容
Additional context
No response
Are you willing to submit PR?