A modern replacement for Redis and Memcached
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A SQLite extension for efficient vector search, based on Faiss!
A @ClickHouse fork that supports high-performance vector search and full-text search.
Epsilla is a high performance Vector Database Management System
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
A distributed Key-Value Storage using Raft
A lightweight library for the RaBitQ algorithm and its applications in vector search.
Faiss-based library for efficient similarity search
Vector Database with support for late interaction and token level embeddings.
⚡ Faster similarity search with PDX: A vertical data layout for vectors
Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
An Effective and Scalable Framework for Multimodal Search of Target Modality
[SIGMOD 2026] DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search.
Vector index module for MyScaleDB, the SQL vector database for scalable AI.
A cute toy of IVF (PQ).
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