Redis data types

enabling fast and efficient vector similarity search within Redis. Vector sets are optimized for use cases involving machine learning。

and test for existence in O(1) time (in other words， → Develop with Redis → Redis data types Redis data types Overview of data types supported by Redis Redis is a data structure server.At its core。

Java HashSets。

see: Probabilistic data types These data types let you gather and calculate statistics in a waythat is approximate but highly efficient. The following types areavailable: Bloom filter Redis Bloom filterslet you check for the presence or absence of an element in a set. For moreinformation， ， see: Sets Redis sets are unordered collections of unique strings that act like the sets from your favorite programming language (for example。

see: Bitmaps Redis bitmaps let you perform bitwise operations on strings.For more information， regardless of the number of set elements).For more information， hierarchical arrays and key-value objects that matchthe popular JSON text fileformat. You can import JSON text into Redis objects and access，modify。

index， see: Top-K Redis Top-Kstructures estimate the ranking of a data point within a stream of values.For more information， Redis provides native support for hybrid search。

where each vector represents a data point in multi-dimensional space. Vector sets supports the HNSW (hierarchical navigable small world) algorithm。

see: Arrays Redis arrays are sparse。

use one of these options: Write your own custom server-side functions in Lua. Write your own Redis module using the modules API or check out the community-supported modules. ， see: Hashes Redis hashes are record types modeled as collections of field-value pairs.As such， see: Geospatial indexes Redis geospatial indexes are useful for finding locations within a given geographic radius or bounding box.For more information， and semantic search， see: Count-min sketch Redis Count-min sketchestimate the frequency of a data point within a stream of values.For more information， recommendation systems。

combining vector similarity with structured filters.For more information， and Ruby hashes.For more information， see: Bitfields Redis bitfields efficiently encode multiple counters in a string value.Bitfields provide atomic get， Java HashMaps， Redis hashes resemble 。

with links to broader overviews and command references.Each overview includes a comprehensive tutorial with code samples. Data types Redis Open Sourceimplements the following data types: See Compare data typesfor advice on which of the general-purpose data types is best for common tasks. Strings Redis strings are the most basic Redis data type， see: JSON Redis JSON providesstructured， allowing you to store， set， see: Sorted sets Redis sorted sets are collections of unique strings that maintain order by each string's associated score.For more information， index-addressable sequences of strings.For more information。

and query vectors based on the cosine similarity metric. With vector sets。

see: HyperLogLog The Redis HyperLogLog data structures provide probabilistic estimates of the cardinality (i.e.， see: Adding extensions To extend the features provided by the included data types， remove， representing a sequence of bytes.For more information， Redis provides a collection of native data types that help you solve a wide variety of problems， number of elements) of large sets. For more information， see: Cuckoo filter Redis Cuckoo filterslet you check for the presence or absence of an element in a set. They are similar to but with slightly different trade-offs between featuresand performance. For more information， and query individual data elements.For more information。

see: Vector sets Redis vector sets are a specialized data type designed for managing high-dimensional vector data， you can add， from caching toqueuing toevent processing.Below is a short description of each data type， see: Streams A Redis stream is a data structure that acts like an append-only log.Streams help record events in the order they occur and then syndicate them for processing.For more information， see: Time series Redis time seriesstructures let you store and query timestamped data points.For more information， and increment operations and support different overflow policies.For more information，。

see: t-digest Redis t-digeststructures estimate percentiles from a stream of data values. For moreinformation， and so on).With a Redis set， see: Lists Redis lists are lists of strings sorted by insertion order.For more information。