A modular graph-based Retrieval-Augmented Generation (RAG) system

Neo4j graph construction from unstructured data using LLMs

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

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

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.dig…

A tool for querying and interacting with PDF documents using AI. This application uses natural language processing to provide contextually relevant responses based on the content of PDF files. It f…

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

RAGGENIE: An open-source, low-code platform to build custom Retrieval-Augmented Generation (RAG) Copilets with your own data. Simplify AI development with ease!

Vision infrastructure to turn complex documents into RAG/LLM-ready data

The demo, code and data of FollowRAG

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

OCR & Document Extraction using vision models

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

Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and…

When RAG and agents fall in love

Everything you need to know to build your own RAG application

"MiniRAG: Making RAG Simpler with Small and Free Language Models"

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.