Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Computer Science fan's notes and blog, mostly about data structure and algorithm, also include other related topics: behavior question, object-oriented design, system design, database SQL and found…

Supercharge Your LLM Application Evaluations 🚀

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.

A list of papers in the field of approximate nearest neighbor search on high-dimensional vectors.

An evaluation suite for Retrieval-Augmented Generation (RAG).

vsag is a vector indexing library used for similarity search.

Academic CVs that you can emulate

Header-only C++/python library for fast approximate nearest neighbors

A library for k-nearest neighbor graph related algorithms.

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 relati…

Experimental Code for "Unleashing Graph Partitioning for Large-Scale Nearest Neighbor Search"

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。

A list of learning materials to understand databases internals

Represent, send, store and search multimodal data

The official Python library for the OpenAI API

Build Postgres Extensions with Rust!

Framework for benchmarking vector search engines

Framework for benchmarking fully-managed vector databases

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

Distributed vector search for AI-native applications

A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines

A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.

Knowhere is a vector search engine, integrating FAISS, HNSW, DiskANN.