RAG & Document Retrieval AI Tools
Open-source retrieval-augmented generation pipelines, document loaders, web scrapers, and local knowledge base tools.
Open-source retrieval-augmented generation pipelines, document loaders, web scrapers, and local knowledge base tools.
All-in-one desktop and Docker app for private LLM chat with your documents.
Open-source RAG engine with deep document understanding and chunk-level citations.
Production-ready AI project for private document interaction without data leaving your environment.
Modular open-source RAG framework for building production document retrieval applications.
Chat with documents locally using any open-source LLM without data leaving your device.
AI-native vector database with built-in ML modules
Web scraping and browser automation library by Apify for Node.js and Python.
Open-source AI second brain for chatting with documents and knowledge bases.
Python toolkit for reproducing and developing RAG research.
Visual pipeline builder for Haystack RAG and search applications.
Python library that simplifies training and using ColBERT for late-interaction retrieval in RAG.
AI-powered web scraping library using LLMs for intelligent data extraction.
Open-source RAG chatbot by Weaviate for exploring datasets and documents.
Managed vector database for machine learning applications
Lightweight library for using reranking models to improve search results.
Cloud-native vector database for scalable similarity search
Library for building stateful multi-agent applications with LLMs.
Self-hosted application layer for LLMs with chat, RAG, web search, code execution, and agents.
Open-source data extraction and indexing engine for RAG applications.
Web scraping API that turns websites into clean LLM-ready markdown.
Local RAG capabilities in GPT4All for chatting with documents privately.