paulknysh/raggy

Local document Q&A in your terminal — powered by on-device LLMs.

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

Find your files with natural language and ask questions.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

CORTEX RAG is an enterprise retrieval and knowledge assistant that helps teams find accurate answers from company data with citations, permission-aware retrieval, and fast deployment

RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

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

A lightweight knowledge base for people and agents