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milvus-io / milvus

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

golang distributed nearest-neighbor-search cloud-native image-search vector-similarity faiss anns rag hnsw vector-search vector-database llm embedding-database embedding-store vector-store embedding-similarity diskann

Updated Sep 6, 2026
Go

chatchat-space / Langchain-Chatchat

Star

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

Updated Nov 10, 2025
Python

RyanCodrai / turbovec

Star

A vector index built on TurboQuant, written in Rust with Python bindings

python rust neon embeddings simd nearest-neighbor quant ann quantization avx512 embedding faiss rag vector-search turboquant

Updated Aug 21, 2026
Rust

memvid / memvid

Star

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.

Updated Jul 14, 2026
Rust

alibaba / zvec

Star

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

search-engine embedded local db fts fulltext-search semantic-search similarity-search faiss rag hnsw vector-database vector-db llm-memory agent-skills

Updated Sep 6, 2026
C++

StarTrail-org / LEANN

Star

[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.

python privacy ai offline-first localstorage vectors faiss rag vector-search vector-database llm langchain llama-index retrieval-augmented-generation ollama gpt-oss

Updated Sep 5, 2026
Python

unum-cloud / USearch

Star

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

search search-engine database clustering fuzzy-search webassembly simd nearest-neighbor-search full-text-search image-search recommender-system approximate-nearest-neighbor-search semantic-search text-search similarity-search kann faiss vector-search

Updated Aug 31, 2026
C++

SylphAI-Inc / AdalFlow

Star

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

Updated May 29, 2026
Python

athina-ai / rag-cookbooks

Star

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

python ai tutorials cookbooks openai pinecone faiss rag weaviate qdrant llm llms langchain chromadb

Updated Feb 17, 2025
Jupyter Notebook

tensorchord / pgvecto.rs

Star

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

rust postgres vector nearest-neighbor-search gpt hacktoberfest faiss vector-database llm chatgpt

Updated Feb 26, 2025
Rust

asg017 / sqlite-vss

Sponsor

Star

A SQLite extension for efficient vector search, based on Faiss!

sqlite sqlite-extension faiss vector-search

Updated May 5, 2024
C++

alexpinel / Dot

Star

Text-To-Speech, RAG, and LLMs. All local!

local standalone self-hosted embeddings tts faiss rag standalone-app llm langchain whisper-cpp llamacpp privategpt document-chat phi-3

Updated Dec 9, 2024
JavaScript

milvus-io / pymilvus

Star

Python SDK for Milvus Vector Database

python python-sdk faiss anns milvus vector-database faiss-vector-database milvus-sdk milvus-lite

Updated Sep 3, 2026
Python

kennethleungty / Llama-2-Open-Source-LLM-CPU-Inference

Star

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

Updated Nov 6, 2023
Python

weiwill88 / Local_Pdf_Chat_RAG

Star

Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.

python chinese-nlp gradio bm25 faiss rag fastapi hybrid-search document-qa retrieval-augmented-generation ollama deepseek

Updated Aug 31, 2026
Python

SkywalkerDarren / chatWeb

Star

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.