mystvearn

> I was able to fix this. you need to look, for each chain type (stuff, refine, map_reduce & map_rerank) for the correct input vars for each prompt. > >...

I'm having the same problem when trying to use memory with RetrievalQAWithSourcesChain. Found and followed Langchain tutorial but nothing works: https://python.langchain.com/en/latest/modules/memory/examples/adding_memory_chain_multiple_inputs.html

I'm facing the same technical issue. My code works fine with VectorDBQA, but not with the source one.

> > > > For that i get this error `E:\Python>conda install -c nvidia fastai anaconda Retrieving notices: ...working... done Collecting package metadata (current_repodata.json): done Solving environment: failed with initial...

I have created the env with both variables for front-end and back-end. Still I get the same error as being described in this thread

Totally agree. **create_final_covariates.parquet** is no longer available. The document should have been updated to reflect the change

> In the documentation at https://microsoft.github.io/graphrag/posts/config/env_vars/, you can see that `GRAPHRAG_CLAIM_EXTRACTION_ENABLED` defaults to `False`. I believe this is why the **create_final_covariates.parquet** file is not generated with the default settings. >...

  I'm facing the same error despite setting the correct path to Neo4j docker instance. Password and username were confirmed to be correct