AI channel
RAG

Open-source RAG frameworks

Most-starred projects

649–672 of 722
ageerle

ruoyi-web

★ 429

RuoYi-AI user frontend for AI conversations, agent interactions, and knowledge-base Q&A.

Vue
gyunggyung

AGI-Papers

★ 426

A curated archive of breakthroughs in Agents, Architecture, Training, RAG, and On-Device AI.

★ 426

Cut LLM costs by up to 80% and unlock sub-millisecond responses with intelligent semantic caching.A drop-in, provider-agnostic LLM proxy written in Go with sub-millisecond response

Go
★ 425

A hands-on Spring AI tutorial covering SSE streaming, AI agents, knowledge-graph RAG, function calling, chat history, image generation, image understanding, embeddings, vector databases, and RAG.

Java
★ 424

RAG evaluation without the need for "golden answers"

Python
treygrainger

ai-powered-search

★ 423

The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course

Jupyter Notebook

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

Python
unitagain

WenShape

★ 420

WenShape (formerly NOVIX Writing): a deeply context-aware, agent-based novel creation system.

Python
★ 416

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems (Chinese translation).

TeX
mezmo

aura

★ 412

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Rust
microsoft

iq-series

★ 412

The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.

Jupyter Notebook
GizClaw

flowcraft

★ 411

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

Go
★ 410

Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.

Python
Cocolalilal

LastChat

★ 405

A Fork of Rikkahub with an overhauled UI and feature additions

Kotlin
★ 403

Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo

TypeScript
★ 402

Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.

Python

A ReAct agent based on LangChain/LangGraph, combining RAG, tool calling, and a Streamlit UI, for intelligent customer-service and report-generation scenarios.

Python
labsai

EDDI

★ 393

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Java
agenticloops-ai

agentic-ai-engineering

★ 391

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

Python
wangtunan

blog

★ 391

Personal blog documenting a journey of growth. https://wangtunan.github.io/blog/

Shell
★ 390

Agent Framework Samples - showcasing ways in which agent framework can be utilized.

Jupyter Notebook
buildingjoshbetter

TrueMemory

★ 386

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

Python
★ 386

A local-first AI knowledge-base system (RAG) that connects local documents into a tutoring search and LLM chat workflow. Currently supports md, txt, pdf (text), xlsx, and csv files, with MCP server support.

Go
mrmps

pdf2md

★ 385

Browser based tool to convert PDFs to Markdown

TypeScript