Cocolalilal
★ 357LastChat
A Fork of Rikkahub with an overhauled UI and feature additions
AI channelRAG 
★ 349
Open-source RAG frameworks
Retrieval-augmented generation (RAG) makes a language model answer from your own documents. The text is split into chunks, turned into vectors and stored in an index, and the most relevant chunks are added to the prompt when a question comes in. The projects here cover the whole pipeline or one part of it: document parsing, vector search, or a complete question-answering app.
How to choose
Answer quality in RAG depends mostly on retrieval, not on the model. Compare how each project handles difficult documents such as PDFs, tables and scans, whether it supports hybrid search that combines keywords with vectors and re-ranking, and whether it shows which sources an answer came from.
Most-starred projects
553–576 of 596lovstudio
★ 357Ataru
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.
tonywu71
★ 357colpali-cookbooks
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳
abraxas914
★ 355VESTI
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
DevYangJC
★ 355Argus
🌱 Argus 是一个基于 RAG 架构的开源知识库平台，后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector，前端采用 Vue 3 + TypeScript + Element Plus，AI 层基于 Spring AI Alibaba（通义千问）+ ReactAgent 图引擎，以 MinIO + Elasticsearch 为存储与检索引擎。
2dogsandanerd
★ 354Knowledge-Base-Self-Hosting-Kit
A Docker-powered RAG system that understands the difference between code and prose. Ingest your codebase and documentation, then query them with full privacy and zero configuration.
sigpanic
★ 354goink
Goink 桌面 AI 小说创作助手，对话式写作 + 自动状态追踪 + 本地语义搜索。跨平台开箱即用。AI Agent Novel Generator.
aws-solutions
★ 353generative-ai-application-builder-on-aws
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
shibing624
★ 352agentica
One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.
louisfb01
★ 349ai-engineering-cheatsheets
Give you decision-ready references for the most common AI engineering problems
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
GoogleCloudPlatform
★ 348cymbal-air-toolbox-demo
Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.
jihe520
★ 348mindpocket
Open-source, free, multi-platform, one-click deploy, AI Agent–integrated personal bookmarking system｜完全开源、免费、多端、一键部署、AI Agent 集成的个人收藏夹系统
langchain-ai
★ 348langchain-aws
Build LangChain Applications on AWS
schmitech
★ 347orbit
Self-hosted AI gateway for private RAG, natural-language data access, and tool-calling agents.
smaramwbc
★ 346statewave
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.
xr843
★ 342fojin
Buddhist Digital Text Platform — 10,500+ texts, 613 sources, trilingual cross-canon, AI Q&A (RAG), knowledge graph, full-text search
emarco177
★ 341documentation-helper
Reference implementation of a RAG-based documentation helper using LangChain, Pinecone, and Tavily..
lehoanglong95
★ 340rag-all-in-one
🧠 Guide to Building RAG (Retrieval-Augmented Generation) Applications
DocAILab
★ 334XRAG
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
Azure-Samples
★ 331SQL-AI-samples
Samples using AI and Azure SQL DB
jia-gao
★ 328leanctx
Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.
rryam
★ 323VecturaKit
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
rush-db
★ 323rushdb
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.