launch-agentic-rag: FastAPI Backend for Agentic RAG with Tool Calling

RepositoryShenSeanChen/launch-agentic-ragTool

An open-source repository providing a reference implementation of Agentic RAG using FastAPI. The project extends standard retrieval workflows with autonomous reasoning loops and external tool execution, such as calendar scheduling and email dispatch.

Key points

  1. Builds upon a previous baseline project (yt-rag) by introducing tool calling and reasoning loops.
  2. Implements the workflow: Query → Retrieve → Reason → Decide → Act → Answer.
  3. Includes concrete tool integrations for Google Calendar and Gmail alongside multi-turn chat history.
  4. Modular codebase structured into orchestrator, tool registry, services (RAG, embeddings, chat), and schemas.
  5. Developed in Python using FastAPI.

Why it matters

While traditional RAG simply outputs retrieved information, Agentic RAG enables AI systems to make decisions and execute multi-step actions in external services based on the context found.

Analysis

Created by ShenSeanChen, this repository illustrates the evolution from passive Q&A pipelines to active agent systems. It is aimed at developers seeking a clean code structure for tool-enabled LLM backends. Although marketed as 'production-ready', project metrics (43 stars, 12 forks) and tutorial references suggest it is primarily a didactic demo framework rather than a battle-tested enterprise foundation.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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