Post by Qdrant

Most search systems plateau at reranking. This talk explores what comes next. Join Nathan and Jenny (Sr. DevRel at Qdrant) as they break down Relevance Feedback in Vector Search - from its roots in IR research to its implementation using Qdrant’s Query API. You’ll learn how to: • Move beyond surface-level optimizations • Inject relevance signals directly into your vector index • Build adaptive, feedback-driven retrieval systems • Apply these concepts in production environments If you’re serious about search relevance, this is where things start to get interesting.

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