Intro to Cascading Retrieval: Boost RAG and search precision by up to 48%
Cascading Retrieval is an enhanced retrieval path that seamlessly combines dense, sparse, and reranking into a unified search pipeline for unparalleled precision, performance, and ease of use. In fact, our research shows this approach yields up to 48% better performance than dense retrieval alone.
In this session, Gareth Jones (Staff Product Manager) and Antonio Mallia (Senior Research Scientist) walk you through:
An overview of cascading retrieval, and how it differs from hybrid
Details behind our comparative benchmarking
A live demo incorporating our latest retrieval and inference capabilities
Pinecone sparse embedding model: https://docs.pinecone.io/models/pinec...
Pinecone reranking model: https://docs.pinecone.io/models/pinec...
Announcement blog: https://www.pinecone.io/blog/cascadin...
Notebook: https://colab.research.google.com/dri...
Sign-up form for Sparse Index early access: https://canyon-quilt-082.notion.site/...