The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
-
Updated
Jun 13, 2024 - C++
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
🛰️ 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 !
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
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.
Custom implementation of HNSW index and benchmarks against original implementation.
Simple and Efficient DiskANN implementation
Fast and minimal header-only graph-based index for approximate nearest neighbor search (ANNS).
Add a description, image, and links to the hnsw topic page so that developers can more easily learn about it.
To associate your repository with the hnsw topic, visit your repo's landing page and select "manage topics."