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

The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.

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.

⚡ Faster similarity search with PDX: A vertical data layout for vectors

Faiss-based library for efficient similarity search

Vector Database with support for late interaction and token level embeddings.

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.