RediSearch/RediSearch

Features

• Search Modules - Extends the Redis server with secondary indexing, full-text search, and aggregation capabilities.
• In-Process Search Engines - Runs inside the database process to index and query data without external infrastructure.
• Vector Similarity Search - Ships a vector similarity search engine using HNSW graphs for KNN and range queries.
• Proximity Graph Indexes - Indexes high-dimensional vectors using a navigable small world graph for approximate nearest neighbor search.
• Full-Text Search Extensions - Indexes and queries textual data with stemming, fuzzy matching, and relevance ranking.
• Document Indexing - Creates secondary indexes on hash or JSON documents for field, text, or spatial queries.
• Incremental Document Indexers - Updates the search index automatically as JSON or hash documents are added, modified, or deleted.
• Tokenized Text Indexes - Indexes text fields in hashes for full-text search with stemming, tokenization, and multi-language support.
• Full Text Search - Provides a full-text search engine that indexes hash and JSON documents with stemming and fuzzy matching.
• Full-Text Search Engines - Indexes hash and JSON documents with stemming, fuzzy matching, and relevance scoring.
• Sorted Indexing - Indexes comma-separated tags and numeric values as sorted sets for fast inclusion/exclusion and range queries.
• Full-Text Inverted Indexes - Builds token-level inverted lists from indexed text fields for fast term lookups and relevance scoring.
• Module Command Invocations - Provides an API for modules to invoke any Redis command and inspect the reply.
• JSON Indexing - Declares which fields on JSON or hash documents are auto-indexed for text, numeric, and tag queries.
• JSONPath Field Indexes - Indexes fields within JSON documents by specifying JSONPath expressions.
• Search and Indexing - Creates and maintains searchable indexes over JSON and hash documents for fast lookups.
• Complex Search Querying - Supports boolean operators, prefix, fuzzy, exact phrase, and phonetic matching in search queries.
• Aggregation Pipelines - Processes search results through a pipeline of grouping, reducing, filtering, and sorting operations.
• Server-Side Aggregation Pipelines - Processes search results through a pipeline of grouping, sorting, filtering, and reduction operations without exporting data.
• Secondary Indexes - Extends Redis with secondary indexing by intercepting key writes and maintaining inverted indexes.
• Flat Key-Value Indexes - Intercepts key writes and maintains inverted indexes inside the existing key-value store for field-level lookups.
• Vector Similarity Search - Finds nearest neighbors by cosine, inner product, or L2 distance over indexed vector embeddings.
• Database Modules API - Registers new custom commands and data types via the module API.
• Auto-Complete Libraries - Builds a suggestion dictionary from indexed terms and returns ranked completions as the user types.
• Post-Query Predicate Filters - Filters aggregation pipeline results using post-query predicates on computed values.
• Aggregate Result Sorting - Orders grouped or transformed aggregation results by one or more fields in ascending or descending order.
• Geospatial Query Extensions - Indexes geographic coordinates and filters documents by radius or bounding box.
• Tag Filters - Indexes comma-separated tags for fast inclusion and exclusion filtering alongside full-text search.
• Multi-Field Indexing - Creates secondary indexes on multiple fields of hashes or JSON documents for complex queries.
• Field Transformations - Computes new field values from existing ones using arithmetic expressions and built-in functions in the aggregation pipeline.
• Numeric Range Filters - Restricts query results to documents within a numeric range or geographic area using indexed filters.
• Group-By Aggregations - Partitions search results into groups by field values and applies reducer functions to each group.
• Array Text Indexes - Indexes arrays of strings as full-text fields for text search across multiple string values.
• Cursor-Based Pagination - Retrieves aggregation results incrementally using server-provided cursor tokens for pagination.
• Distributed Search Query Routing - Scatters search queries across cluster shards and merges partial results.
• Numeric Array Indexes - Indexes arrays of numerical values for range queries matching documents with at least one value in range.
• Tag Array Indexes - Indexes each element of a JSON array as a separate tag for filtering by inclusion or exclusion.
• Geospatial Search - Filters and ranks indexed documents by geographic proximity to a coordinate or within a bounding area.
• Missing Value Queries - Provides dedicated query functions for finding documents where a property is absent or empty.
• JSONPath - Uses JSONPath expressions to load and compute statistics over indexed JSON documents in aggregation pipelines.
• Grouped Statistics - Computes grouped statistics like counts and sums over search results using a server-side aggregation pipeline.
• Search Result Sorting - Ranks documents by relevance using tf-idf with optional user weights and sorts by fields like creation date.
• Search Suggestions - Builds a prefix-based suggestion dictionary and returns ranked completions for type-ahead inputs.
• Array Vector Indexes - Indexes arrays of numeric vectors for similarity search, returning closest documents to a query vector.
• Filtered Similarity Searches - Applies pre-filters to restrict which vectors are considered before performing KNN or radius searches.
• Pre-Filtered Vector Searches - Applies pre-filters to restrict which vectors are considered before performing KNN or radius searches.
• Nearest Neighbor Searches - Finds the k nearest vectors to a query vector using KNN search, returning results sorted by distance.
• Radius Vector Searches - Retrieves all vectors within a specified radius from a query vector, optionally sorting results by distance.

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