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RA

RAG Agentic AI

Microsoft Store·AI & ML

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.

FreemiumWindowsSelf-hostedCLIAPI
Visit Microsoft Store↗

Overview

7 features

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.

  • ✓Local RAG
  • ✓Hybrid Search
  • ✓Document Ingestion
  • ✓Asset Library
  • ✓MCP Endpoint
  • ✓Agent Integration
  • ✓Offline Operation
Tags
local-ragpersonal-knowledge-baseagent-contextmcp-serverwindows-desktop
AI capabilities
TextStructured
Inference: Local

Built with & integrations

Connectors
MCPAPI
Runs on
WindowsSelf-hostedCLIAPI-only

Trust & compliance

Verified signals
✓HTTPS✓Free tier✓Store-verified publisher

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Aug · 10:12 UTC
    RAG Agentic AI verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about RAG Agentic AI

What is RAG Agentic AI?
RAG Agentic AI focuses on running private, on-device retrieval-augmented generation and feeding trusted context to local AI agents without sending documents to cloud LLMs. It is catalogued under AI & ML on PulseGate.
Who should use RAG Agentic AI?
RAG Agentic AI is a consumer product built for developers and power users.
Does RAG Agentic AI have a free plan?
Yes — there is a free tier, with paid plans for advanced use.
What platforms does RAG Agentic AI run on?
RAG Agentic AI runs on Windows, the command line, and API. It can also be self-hosted.
Is RAG Agentic AI still maintained?
Unverified. RAG Agentic AI has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to RAG Agentic AI?
Similar projects tracked by PulseGate include Agentic RAG Platform for AI Agents and LLMs, RustyRAG, and repo-rag.Agentic RAG Platform for AI Agents and LLMsRustyRAGrepo-rag
Who develops RAG Agentic AI?
RAG Agentic AI is developed by YedRox.
When did RAG Agentic AI launch?
RAG Agentic AI first shipped in 2026.

At a glance

Platforms
Desktop
Languages
English
First seen
4 Aug 2026
Built for
developers and power users
Model
B2C
Solves
Running private, on-device retrieval-augmented generation and feeding trusted context to local AI agents without sending documents to cloud LLMs.

Registered as

Microsoft Store
9NC1LCWNFZ4V

Developer

YedRox

Live coverage

Identity confidence
Medium · 74.8
Indexed
4 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
4 Aug 2026
Identity audit (13)
Slug
rag-agentic-ai-microsoft-com
Lifecycle state recorded
4 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
4 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Taken from the project's own store listing.
Languages from
Detected by a language model from page content.
Last updated
4 Aug 2026
Canonical URL
https://apps.microsoft.com/detail/9NC1LCWNFZ4V

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