Skip to content

[BLOG] Hybrid Search with OpenSearch: Options and Practice #3731

Open
@owaiskazi19

Description

@owaiskazi19

Describe the blog post

In the evolving world of search technology, OpenSearch stands out with its powerful search capabilities. OpenSearch offers a range of search techniques, starting with basic lexical search using BM25 (Best Matching 25), which excels at keyword-based retrieval and remains a cornerstone of many search applications. The evolution continues with semantic search, which leverages dense vector embeddings to capture the semantic meaning beyond keywords. Advanced hybrid techniques combine lexical and semantic approaches, using normalization methods like score-based and rank-based algorithms to balance and integrate scores from different search methods. These techniques progressively enhance search relevance and flexibility, catering to diverse search requirements in modern applications. This blog post will guide you through this series of search techniques, from BM25 to hybrid search and provide an overview of how Hybrid Search works in OpenSearch.

Expected Title

Hybrid Search with OpenSearch: Options and Practice

Authors Name

Owais Kazi

Authors Email

owaiskazi19

Target Draft Date

04/8/2025

Blog Post Category

technical

Target Publication Date

04/11/2025

Additional Info

No response

Metadata

Metadata

Labels

Type

No type

Projects

Status

Complete

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions