Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

PostgreSQL vector database extension for building AI applications

Fast approximate nearest neighbor searching in Rust, based on HNSW index

Graph-based Approximate Nearest Neighbor Search

Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temporal decay. Rust, AGPL, ships as library / MCP server / HTTP cluster.

An AI-native multi-model database unifying SQL, vector, full-text, graph, and sandboxed Python — for transactional, analytical, and agent workloads.

Production-ready KV-backed HNSW implementation in Rust using LMDB

Graph-vector database that queried 1 billion edges for $2.50. Rust, OpenCypher, vector search, 14 graph algorithms. 74M nodes / 1B edges on a single machine.

HSNW module for Redis

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). AGPL.

All-in-one environment to use Dria, the collective knowledge for AI.

Embeddable vector database for Rust and Python. HNSW indexing, metadata filtering, hybrid search, and snapshots. The SQLite of vector search.

VortexDB - A lightweight, vector database built from scratch in Rust 🦀

A native Rust implementation of DiskANN (Disk-based Approximate Nearest Neighbor search) 🦀

semantic vector search demo with gRPC server in Rust

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

High-performance vector database & RAG memory layer - hybrid search, embeddings, RAPTOR trees, BM25 fusion for AI systems.

The easiest HNSW vector index you'll ever use.