New from O’Reilly: The memory architecture behind adaptive AI agents

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Redis Query Engine

Redis Query Engine (RQE)

Get exact data & insights at the right time.

Go beyond key lookups and run powerful, real-time data queries and search on your Redis data.

Query with simple syntax at faster speeds

Select, filter, aggregate, and search data precisely in milliseconds—directly in Redis—so you don’t have to write the algorithms yourself.

Flexibly run hybrid search & more

Power more real-time app experiences with any number of query types including multi-field, vector, full-text, geospatial, hybrid, and combined queries.

Check it out yourself

Easily scale to 1 billion vectors

Perform real-time vector search under concurrent load on a query engine that scales both horizontally and vertically—unlocking up to 16X more throughput.

Increase accuracy, reduce latency

No need to wait—your data is instantly queryable with high accuracy and consistency once it’s indexed.

You’re in good company

Vector search

Run semantic searches over vector embeddings, filter by metadata, and query with vector fields like k-Nearest Neighbor or vector range queries.

Full-text search

Build more quickly and efficiently with features like phrase search, auto-complete, fuzzy match, custom scoring, and more.

Secondary indexes

Create secondary indexes on a variety of data structures and their fields, including composite (multi-column) indexes.

Geospatial search

Search for locations within a specific radius, geometric shapes representing geographic layouts, and points contained within those shapes.

Aggregation queries

Transform, shape, and compute your Redis data in real-time.

Combined queries

Combine query types including exact match, range, full-text, geospatial, and vector search for even more advanced query expressions.

Use Redis Query Engine today

Start running high-performance queries and real-time search.

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