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Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

A lightweight, lightning-fast, in-process vector database

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

AdalFlow: The library to build & auto-optimize LLM applications.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)

Pure-Zig ANN — Flat, HNSW, IVFFlat, IVFPQ; L2/cosine/inner-product across all families; SIMD @Vector kernels, multi-threaded batch search. 16.94× memory compression on IVFPQ. 76 tests. No C/C++ dependency.