DaaS / Products / Hybrid Vector + Keyword Search System

Hybrid Vector + Keyword Search System

Build a hybrid search application that stores embedding vectors in OSS for similarity search while using Elasticsearch with relevance tuning (synonyms, reranking) for keyword search, combining both retrieval paths to serve higher-quality results in a RAG or product-search pipeline.

Products involved

Scenario

Build a hybrid search application that stores embedding vectors in OSS for similarity search while using Elasticsearch with relevance tuning (synonyms, reranking) for keyword search, combining both retrieval paths to serve higher-quality results in a RAG or product-search pipeline.

How the products combine

  1. oss · oss-manage-data — Object Storage Service — Manage vector data and indexes

    2. See oss/oss-manage-data.

  2. es · es-optimize-results — Elasticsearch — Optimize search result relevance

    3. See es/es-optimize-results.

Typical questions