Hybrid and full-text search engines
Hybrid and full-text search engines covers keyword, BM25 and hybrid lexical-plus-vector search engines and libraries.
In brief
Hybrid and full-text search engines, in brief.
What it isHybrid and full-text search engines covers keyword, BM25 and hybrid lexical-plus-vector search engines and libraries.
Where it sitsOne of 11 categories in the Retrieval layer. Retrieval is how an AI system finds the right information at the moment it needs it: web search APIs, vector databases, full-text search engines, crawlers, and the frameworks that tie them into an answer.
What we track26 products, including Algolia, Apache Lucene, Apache Solr, Azure AI Search (hybrid) and Bleve.
The products
26 products in Hybrid and full-text search engines.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Hybrid and full-text search engines, answered.
What is Hybrid and full-text search engines in AI infrastructure?Hybrid and full-text search engines covers keyword, BM25 and hybrid lexical-plus-vector search engines and libraries.
Which layer of AI infrastructure is Hybrid and full-text search engines in?Hybrid and full-text search engines is in the Retrieval layer. Retrieval is how an AI system finds the right information at the moment it needs it: web search APIs, vector databases, full-text search engines, crawlers, and the frameworks that tie them into an answer.
Which products are in Hybrid and full-text search engines?We track 26 products in Hybrid and full-text search engines, including Algolia, Apache Lucene, Apache Solr, Azure AI Search (hybrid), Bleve, bm25s, Elasticsearch and FlexSearch. The full list is on this page.
Retrieval