severian42
commented
3 months ago This most recent update should solve the issues with indexing and creating the needed output files. Give it a try and report back if you still encounter any errors in indexing and then querying.
How to query the generated graph:
-If you are able to run the Indexing with no errors you will end up with the full output files. -Once you have those, you will need to initialize the folder within the Index Management tab. -Once you have initialized (should be 20 items in total) it will make the graph available to query with the LLM
When choosing "global", it works well. However, when choosing "local" for any query, it gets below error:
Error: Traceback (most recent call last): File "/usr/local/conda3/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/local/conda3/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/query/main.py", line 76, in run_local_search( File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/query/cli.py", line 154, in run_local_search result = search_engine.search(query=query) File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/query/structured_search/local_search/search.py", line 119, in search context_text, context_records = self.context_builder.build_context( File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/query/structured_search/local_search/mixed_context.py", line 141, in build_context selected_entities = map_query_to_entities( File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/query/context_builder/entity_extraction.py", line 55, in map_query_to_entities search_results = text_embedding_vectorstore.similarity_search_by_text( File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/vector_stores/lancedb.py", line 120, in similarity_search_by_text return self.similarity_search_by_vector(query_embedding, k) File "/root/msgraphrag_env/GraphRAG-Ollama-UI-main/graphrag/vector_stores/lancedb.py", line 99, in similarity_search_by_vector .to_list() File "/usr/local/conda3/lib/python3.10/site-packages/lancedb/query.py", line 303, in to_list return self.to_arrow().to_pylist() File "/usr/local/conda3/lib/python3.10/site-packages/lancedb/query.py", line 528, in to_arrow return self.to_batches().read_all() File "/usr/local/conda3/lib/python3.10/site-packages/lancedb/query.py", line 558, in to_batches result_set = self._table._execute_query(query, batch_size) File "/usr/local/conda3/lib/python3.10/site-packages/lancedb/table.py", line 1623, in _execute_query return ds.scanner( File "/usr/local/conda3/lib/python3.10/site-packages/lance/dataset.py", line 336, in scanner builder = builder.nearest(**nearest) File "/usr/local/conda3/lib/python3.10/site-packages/lance/dataset.py", line 2150, in nearest raise ValueError( ValueError: Query vector size 384 does not match index column size 768