RAG Agentic AI is a Windows desktop application that functions as a private, local-first personal knowledge engine. It allows users to ingest files, folders, notes, URLs, and other assets into searchable collections using hybrid vector and keyword retrieval. The tool then provides context to AI agents through an MCP SSE endpoint and OpenAI-compatible tool schemas without requiring any cloud LLM. It is designed for developers and power users who prioritize data privacy and on-device processing.
In the AI & ML space, RAG Agentic AI takes a focused approach. It focuses on running private, on-device retrieval-augmented generation and feeding trusted context to local AI agents without sending documents to cloud LLMs. RAG Agentic AI is a consumer product aimed at developers and power users. There is a free tier. RAG Agentic AI is available on Windows, the command line, and API, and it can be self-hosted.
YedRox builds and maintains RAG Agentic AI, and it first shipped in 2026. Among its 7 catalogued features are Local RAG, Hybrid Search, and Document Ingestion. It exposes integrations via an MCP server and a public API.
What PulseGate has recorded for this listing
Closest matches by what these projects do