RediSearch
A search and indexing module for Redis that adds full-text search, secondary indexing, and vector similarity search capabilities. It allows Redis to serve as a search engine and to perform semantic retrieval over vector embeddings, enabling use cases such as retrieval-augmented generation and recommendation. It is available as a Redis module and also underlies the Redis Query Engine feature in Redis Stack and Redis Enterprise.
Timeline (last 90 days)
FalkorDB's full-text index is built on RediSearch underneath, and ordinary multi-word query strings are parsed as implicit AND or phrase matching, causing missed recall for natural-language questions.
Redis Stack simultaneously supports hash storage and vector indexing through the built-in RediSearch module.
Redis can be used as a vector store via its RediSearch module's vector similarity search functionality.
All Facts (3)
FalkorDB's full-text index is built on RediSearch underneath, and ordinary multi-word query strings are parsed as implicit AND or phrase matching, causing missed recall for natural-language questions.
50%UnverifiedRedis Stack simultaneously supports hash storage and vector indexing through the built-in RediSearch module.
50%UnverifiedRedis can be used as a vector store via its RediSearch module's vector similarity search functionality.
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