SuperEasy 100% Local RAG with Ollama + Email RAG

Text to JSON for easy Fine-tuning examples

RAG LLM Ops App for easy deployment and testing

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit

A simple, easy-to-hack GraphRAG implementation

🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑‍💻

🤖 The semantic engine for LLMs, bringing semantic context to AI agents. 🔥

An easy-to-use framework for modular RAG

A platform to train RAGs

Trustworthy question-answering AI plugin for chatbots in the social sector with advanced content performance analysis.

Chatverse is a prototype chatbot framework for long-term memory using Retrieval-Augmented Generation (RAG). It supports JSON-based session management and API communication for easy integration.

An advanced Artificial Intelligence (AI) example of a Retrieval-Augmented Generation (RAG) Next.js web app with agents (tools)

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Efficient Retrieval Augmentation and Generation Framework

Framework for enhancing LLMs for RAG tasks using fine-tuning.

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

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

An open-source integration of GraphRAG for Agentic System with NoCode

Shinkai is a two click install AI manager (Ollama compatible for Windows, Mac and Linux). It lets you download/use AI models, RAG, and performs actions for you with tooling (very soon).

Shinkai is a two click install AI manager (Ollama compatible for Windows, Mac and Linux). It lets you download/use AI models, RAG, and performs actions for you with tooling (very soon).

react + next.js dashboard for R2R: The most advanced AI retrieval system. Containerized, Retrieval-Augmented Generation (RAG) with a RESTful API.

The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

GraphRAG using Local LLMs - Features robust API and multiple apps for Indexing/Prompt Tuning/Query/Chat/Visualizing/Etc. This is meant to be the ultimate GraphRAG/KG local LLM app.

Ship RAG based LLM web apps in seconds.

An open-source RAG-based tool for chatting with your documents.

Crawl a website to generate knowledge file for RAG

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure