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: [ Ссылка ]
Pinecone reranking model: [ Ссылка ]
Announcement blog: [ Ссылка ]
Notebook: [ Ссылка ]
Sign-up form for Sparse Index early access: [ Ссылка ]

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