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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
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
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.