RediSearch

RediSearch is a Redis module that provides advanced querying, secondary indexing, full-text search, and vector similarity search capabilities for data stored in Redis.

Source code on GitHub

Features

• Full-text indexing of multiple fields in Redis hashes
• Incremental indexing without performance loss
• Document ranking using tf-idf, with optional user-provided weights
• Field weighting for search relevance
• Complex boolean queries with AND, OR, and NOT operators
• Prefix matching, fuzzy matching, and exact-phrase queries
• Double-metaphone phonetic matching
• Auto-complete suggestions with fuzzy prefix suggestions
• Stemming-based query expansion in multiple languages (using Snowball)
• Chinese-language tokenization and querying (using Friso)
• Numeric filters and ranges
• Geospatial searches using Redis geospatial indexing
• Powerful aggregations engine for data analysis
• Support for all UTF-8 encoded text
• Flexible document retrieval: full documents, selected fields, or just document IDs
• Sorting of results (e.g., by creation date)
• Geoshape indexing
• Vector similarity search:
  • KNN (k-nearest neighbors)
  • Filtered KNN
  • Range query for vector data
• Cluster support:
  • Distributed cluster mode for scaling to billions of documents across many servers (available in Redis Cloud and Redis Enterprise Software)

Category

• SDKs & Libraries

Tags

vector-search, redis, open-source, similarity-search

License

• Redis Source Available License 2.0 (RSALv2) or Server Side Public License v1 (SSPLv1)

Pricing

• RediSearch is open source. Distributed cluster features are available as part of Redis Cloud and Redis Enterprise Software (pricing details for those are not provided here).