The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
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Updated
Jun 19, 2025 - C++
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !
Fast, SQL powered, in-process vector search for any language with an SQLite driver
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
AlayaLite – A Fast, Flexible Vector Database for Everyone.
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.
hnswlib-wasm attempts to create a browser friendly version of hnswlib
Rcpp bindings for the approximate nearest neighbors library hnswlib
A fast header-only graph-based index for approximate nearest neighbor search (ANNS). https://flatnav.net
Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.
This repo contains the implementation of Parallelized and Distributed HNSW based prediction algorithm using OpenMP and OpenMPI. Solution to Assignment 3 of the course COL380- Introduction to Parallel and Distributed Programming offered in Second (Holi) Semester 2021-22.
HENN: A Hierarchical Epsilon Net Navigation Graph for Approximate Nearest Neighbor Search
Experimental HNSW Index implementation.
A hybrid search system combining B+ Trees for range filtering and HNSW for approximate nearest neighbor (ANN) search. Features bulkloading for efficient tree construction, HNSWLib integration, and dynamic switching between brute-force and ANN search for optimal performance. Supports binary data processing and visualization with Graphviz.
Custom implementation of HNSW index and benchmarks against original implementation.
A Go wrapper for hnswlib⚡
Simple and Efficient DiskANN implementation
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