How to Build the Ultimate Hybrid Search with Qdrant
In this 45-minute live session, you'll discover innovative ways to enrich your semantic search pipeline, such as the R component in your Retrieval Augmented Generation.
Materials: https://github.com/qdrant/workshop-ul...
Recently released, Qdrant 1.10 introduces several exciting new search modes to boost your capabilities. Qdrant 1.10 supports multiple vector representation, allowing the use of late interaction models, such as ColBERT, and many, many more exciting features.
This session will be a hands-on tutorial where we'll transform an existing dense embedding pipeline into a hybrid one, incorporating various search modes with a reranking step using the new universal search endpoint.
Join if you are a search engineer, building a RAG application, or using LangChain indexing.
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