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The community member is evaluating the Auto Merging Retriever from the LlamaIndex documentation and is considering using Redis as a document store while continuing to use Qdrant for the vector store. They need to perform inserts, updates, and deletes on both the vector store and the document store, and are asking the community for the standard way to achieve this in LlamaIndex, as the documentation only discusses inserts.

A comment from another community member suggests that the docstore in LlamaIndex has several CRUD functions that may be helpful.

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SSayan

Hi,

I want to evaluate this retriever within the scope of our application - https://docs.llamaindex.ai/en/stable/examples/retrievers/auto_merging_retriever.html.

Currently, we're utilising Qdrant as our vector store, handling inserts, updates, and deletes.

For this particular retriever, we're considering using Redis as a document store while continuing with Qdrant for managing the vector store at the leaf-level nodes. This means we'll need to perform inserts, updates, and deletes on both the vector store and the document store.

Could someone please show the standard way to achieve this in LlamaIndex? The documentation only discusses inserts.

Thanks!

1 comment

LLogan M

The docstore also has several CRUD functions

https://github.com/run-llama/llama_index/blob/0774d393be8116b7063367d613fde2e3bb11d26d/llama-index-core/llama_index/core/storage/docstore/types.py#L24

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