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

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

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

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.

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

Versatile agents for long running, research intensive tasks.

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

GraphRAG database - hybrid graph / vector db

openperplex is an opensource AI search engine

openperplex is an opensource AI search engine

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

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…

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

🦜🔗 Build context-aware reasoning applications

Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications

an AI interaction tool with RAG hybrid search, conversation context, web content processing and structured data analysis with LLM / GPT

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

Efficient, consistent and secure library for querying structured data with natural language

Yaraa (Yet Another Rag Automation Attempt) is a library that tackles the boring aspects of managing Rag pipelines, so you don't have to.

A simple, easy-to-hack GraphRAG implementation

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling