approximate-nearest-neighbor-search

Open-source vector similarity search for Postgres

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Postgres with GPUs for ML/AI apps.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

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

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

PECOS - Prediction for Enormous and Correlated Spaces

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

A curated list of awesome works related to high dimensional structure/vector search & database

pgvector for PostgreSQL Windows (native compiled in Microsoft Windows environment)

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

(distributed) vector database

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

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

A High-Efficiency System of Large Language Model Based Search Agents

Cloud-native vector similarity search and storage with efficient, serverless scale-out

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.