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Use cases

Hybrid Search

CrateDB powers hybrid search by combining full-text, vector, and structured queries in real time. Get instant insights with the power of simple SQL and Apache Lucene combined.
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Unlocking the Power of Semantic Search
Unlocking the Power of Semantic Search

Unlock the power of semantic search by watching this ingsightful webinar where Simon Prickett, Senior Product Evangelist CrateDB, highlights CrateDB's ability to integrate various data types (text, geospatial, vectors) for hybrid search using SQL, enabling faster, more contextually relevant results.

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Website
fulltext search
Full-text search with CrateDB

CrateDB efficiently indexes, stores, and retrieves high volumes of unstructured, semi-structured, and structured data, enabling advanced and fast searches across diverse data types, including full-text data.

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semantic search
Vector search with CrateDB

CrateDB maximizes the potential of vector data with a single, scalable database that can be queried with SQL and streamlines data management, significantly reducing development time and total cost of ownership.

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Documentation
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Search

Based on Apache Lucene, CrateDB offers native BM25 term search and vector search, all using SQL. By combining it, also using SQL, you can implement powerful single-query hybrid search.

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Related blog posts

Screenshot of a Hybrid Search query in SQL and the result set
Hybrid Search

Dissecting a Hybrid Search query in SQL

 2024-08-30

In https://cratedb.com/blog/hybrid-search-explained we learned about Hybrid Search and how to do it in pure SQL. The resulting query can be hard to understand if you don't have too much experience ...

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Hybrid Search
Feature Focus
Hybrid Search

Doing Hybrid Search in CrateDB

 2024-07-22

CrateDB supports three search functions: kNN search via KNN_MATCH, bm25 search via MATCH, and geospatial search via MATCH.

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