Tools tagged with "RAG"

n8n is a fair-code workflow automation platform with native AI capabilities. It combines visual building with custom code, connects to 1,500+ integrations, and can be self-hosted or used in the cloud for AI agents and business process

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Open WebUI is a self-hosted AI platform that is extensible, feature-rich, and user-friendly. It supports Ollama and OpenAI-compatible APIs, providing a provider-agnostic interface for local and cloud-based models.

PaddleOCR is a powerful, lightweight OCR and document parsing toolkit that turns PDFs and images into structured, LLM-ready data. It supports 100+ languages, JSON and Markdown output, and helps build RAG and Agentic applications.

Crawl4AI is an open-source web crawler and scraper for LLMs and AI agents. It turns any website into clean, LLM-ready Markdown for RAG, agents, and data pipelines, and can also be used hosted with one key.

Unsloth is an open-source framework for running and training LLMs. It provides a local UI to run and train LLMs and diffusion models, supporting GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Open Notebook is an open-source, privacy-focused AI-powered research and note-taking platform, an alternative to Notebook LM with more flexibility and features, giving you control over your data and AI models.

OpenViking is an open-source context database for AI agents. It unifies agent memory, knowledge RAG, and skills, organizing context as a navigable filesystem for retrieval and reuse.

GraphRAG is a modular graph-based Retrieval-Augmented Generation system that extracts a knowledge graph from unstructured text, builds a community hierarchy, generates summaries, and supports global, local, DRIFT, and basic search.

An open-source agent platform that runs inside your own infrastructure. Each AI coworker gets its own computer, browser, files, and tools, with company knowledge and permissions. Bring any AG-UI agent.