#Approximate-nearest-neighbor-search
Showing 19 of 19 repositories tagged #approximate-nearest-neighbor-search, ranked by stars
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.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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 🦀 .
Vald. A Highly Scalable Distributed Vector Search Engine
A Python nearest neighbor descent for approximate nearest neighbors
PostgreSQL vector database extension for building AI applications
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
hnswlib-node provides Node.js bindings for Hnswlib
Production-ready KV-backed HNSW implementation in Rust using LMDB
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
A High-Efficiency System of Large Language Model Based Search Agents
[[ ARCHIVED ]] gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
Semantic search in Unity!
A Python package for hubness analysis and high-dimensional data mining
Embedded-first vector database that grows into a self-hosted service and lightweight cluster.
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).