nearest-neighbor-search

(distributed) vector database

A decentralized vector database for building vector search applications

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

Official repository of the kANNolo library.

The repo has been moved to https://github.com/VectorDB-NTU/RaBitQ-Library. [SIGMOD 2025] Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search

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

Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.

S3 vector database for LLM Agents and RAG.

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

[NeurIPS'24] Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

Embedded on-device vector database for AI agent memory and local RAG — disk-based HNSW in an LSM-tree, C++/Python, optimized for low memory footprint

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Serverless, lightweight, and fast vector database on top of DynamoDB

Fast vector search in PostgreSQL

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

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

Text/Image search for similar products

The blazingly fast in-memory vector database 🚀

ArcMind Vector DB