AI Dynamics

Global AI News Aggregator

Balancing Chunk Size for Semantic Embeddings in RAG Systems

There was always a balance between small enough chunks to allow the embeddings to capture the semantic meaning of a chunk, while at the same time wanting them to be long enough to have the full context This helps strike this balance Docs: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/parent_document_retriever

→ View original post on X — @hwchase17,

Commentaires

Leave a Reply

Your email address will not be published. Required fields are marked *