Pathway LLM App

Opinionated RAG framework for integrating GenAI into your apps. Works with any LLM, any vectorstore, any files — so you can focus on your product instead of building RAG pipelines.

A comprehensive showcase of advanced Retrieval-Augmented Generation (RAG) techniques with detailed notebook tutorials and code examples, covering foundational to cutting-edge RAG implementations.

A low-code MCP framework for building complex and innovative RAG pipelines. Combines visual pipeline design with MCP protocol integration for end-to-end RAG — from data ingestion and chunking to retrieval and generation.

AI-powered PDF scientific paper translation with preserved formats, supporting Google/DeepL/Ollama/OpenAI services via CLI/GUI/MCP/Docker/Zotero.