Michael Hunger
Michael Hunger
They should be compatible with the OpenAI models so nothing to change in the code, just in the utility function where we create the LLM https://python.langchain.com/v0.1/docs/integrations/chat/azure_chat_openai/ support these environment variables...
- as we still have all the chunk data, we can re-run extraction and post-processing - question is what happens with the existing entities do we need to keep them...
- If someone has already text data in a number of properties of nodes in neo4j (e.g. imported from external structured data), can we enrich or mark up that data...
- store `processingStatus` on document / chunks and use that to determine at which step and which part to pick up again - allow to process failed documents (with a...
It's great that neo4j is already your KG provider, not sure if you're aware of but Neo4j added vector indexing and search (HNSW) last summer. So you can do everything...
My question generates a correct cypher query which I tested. And it also shows the result in the detail view ("Google"). but the bot says "I don't know the answer"
It's very similar to GraphML so we can reuse parts of the GraphML loader There are a number of examples listed here, which we can also use as test-cases. https://gexf.net/data.html...
Thanks for adding GraphRAG to RAGbuilder. I had some questions and suggestions, perhaps you want to chat some time. * QQ: in graphrag.full_retriever you fetch the vector store data but...