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Status Community Opportunity
Categories InterSystems IRIS
Created by Somesh Mehra
Created on May 15, 2024

Vector search support for llama-index with metadata

Llama-index is a super useful and performant tool for creating the vector store within iris, however the current integration between iris and llama-index doesn't support metadata (a capability of newer versions of llama-index). This would be a very helpful feature for many applications, for example where a hybrid search of documents is required (e.g. filtering by date or author of a document before doing a vector search). Currently, the workaround would be to build a normal SQL database and populate the embeddings, metadata, text chunks etc. yourself, however being able to do this directly with llama-index would be highly convenient.

  • ADMIN RESPONSE
    Jul 29, 2024

    Thank you for submitting the idea. The status has been changed to "Community Opportunity".

    Stay tuned!

  • Admin
    Vadim Aniskin
    Reply
    |
    Aug 8, 2024

    Somesh Mehra, thank you for your idea.

    There is a comment on your idea from InterSystems Product Manager. Please answer it to help your idea to be promoted.

  • Admin
    Benjamin De Boe
    Reply
    |
    Jul 29, 2024

    A similar suggestion was filed in the GitHub repo: https://github.com/caretdev/llama-iris/issues/1

    We intend to look into adding this ourselves, but given this is a public repository, would also accept pull requests