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Indexes arrays of numeric vectors for similarity search, returning documents whose vectors are closest to a query vector.
Distinct from Vector Indexing: Distinct from Vector Indexing: specifically indexes vector arrays stored within JSON documents rather than standalone vector collections.
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RediSearch is a Redis module that adds secondary indexing, full-text search, aggregation, and vector similarity search directly into the in-memory data store. It operates as an in-process search engine, extending the core key-value store with capabilities for indexing hash and JSON documents, enabling fast field-level lookups beyond primary key access. The module provides a full-text search engine built on inverted indexes, supporting stemming, fuzzy matching, and relevance scoring via tf-idf. It also includes a vector similarity search engine using a Hierarchical Navigable Small World graph
Indexes arrays of numeric vectors for similarity search, returning closest documents to a query vector.