The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.

A conda-forge distribution.

《动手学大模型Dive into LLMs》系列编程实践教程

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

ClickHouse® is a real-time analytics database management system

Knowhere is an open-source vector search engine, integrating FAISS, HNSW, etc.

Apache Doris is an easy-to-use, high performance and unified analytics database.

An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

Graph Library for Approximate Similarity Search

We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries.我们致力于量化知识的开源与汉化，打破国内外量化金融行业…

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

基于Python的开源量化交易平台开发框架

vsag is a vector indexing library used for similarity search.

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

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

Python SDK for Milvus.

量化研究-券商金工研报复现

Share Milvus proto files between Milvus repository and SDK repositories

The book "Performance Analysis and Tuning on Modern CPU"

Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, …

Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

A library for efficient similarity search and clustering of dense vectors.