Скачать или смотреть KDB.AI | Hybrid Search in Vector Databases

Here, we take a closer look at hybrid search—an approach that combines keyword and semantic search to deliver better results across challenging data domains. By blending sparse vectors, built with tokenizers and BM25, and dense vectors from embedding models, hybrid search balances contextual specificity with semantic understanding.

This video explores the strengths of hybrid pipelines, the role of alpha parameters in tuning results, and why hybrid search is invaluable for use cases like legal document retrieval, recruitment, and customer support. With examples of how it integrates into RAG workflows, this tutorial shows you how to optimize your search systems and improve query accuracy.

Take the full course here!
https://learninghub.kx.com/courses/kd...