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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.
Talk
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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Webinar
From-Documents-to-Dialogue-Unlocking-PDF-Data-with-a-Smart-Chatbot
From Documents to Dialogue: Unlocking PDF Data with a Smart Chatbot

 In this webinar recording Simon Prickett reveals how to unlock text and image data trapped in PDF files and search it using the power of AI and CrateDB.

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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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Website
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
Engineering

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
Engineering

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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Want to discuss your hybrid search project?

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Why CrateDB for hybrid search?

Unified Search on Any Data Type

CrateDB seamlessly handles structured, semi-structured, and unstructured data — from time-series and geospatial data to text and JSON — all in one place.

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Powerful Full-Text Search

Built-in full-text search capabilities with advanced indexing let you run fast, flexible queries without additional search engines.

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SQL Simplicity with Search Power

Perform complex hybrid searches (combining text, numeric, geospatial, and vector data) using familiar SQL, reducing the need for specialized query languages.
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Real-Time Performance

CrateDB’s distributed architecture ensures low-latency search and fast aggregations, even on high-velocity data streams.

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Scalability and Resilience

CrateDB scales horizontally with ease, maintaining high availability and fault tolerance, so search performance stays consistent as your data grows.

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AI-Ready Analytics

CrateDB can feed search results directly into AI models and real-time analytics pipelines, enabling smarter, data-driven decision-making.

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