Multi-Vector Retriever for RAG on tables, text, and images
Summary Seamless question-answering across diverse data types (images, text, tables) is one of the holy grails of RAG. We’re releasing three new cookbooks that showcase the multi-vector retriever for RAG on documents that contain a mixture of content types. These cookbooks as also present a few ideas for pairing
https://blog.langchain.dev/semi-structured-multi-modal-rag/
Seonglae Cho
