LibreAI / RAG & Knowledge / rag-template
// rag Β· stackitcloud/rag-template

rag-template

Run rag-template locally: template for ai chatbots & document management using re.

πŸ’Ž Hidden gemβ˜… 87 starsβ‘‚ 10 forksApache-2.0updated 2026-10
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

rag-template is an open-source rag & knowledge project by stackitcloud (stackitcloud/rag-template on GitHub). It has 87 GitHub stars and 10 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 4 October 2026.

GitHub stars
87
Forks
10
License
Apache-2.0
Last updated on GitHub
4 October 2026
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clone the repository

    Fetch the source code onto your machine.

  2. Install dependencies

    Set up the Python environment the project needs.

  3. Configure the project

    Copy the sample config or env file and adjust it.

  4. Run it

    Start the app from the source directory.

// features

Why people love it

Ai

Built around ai for a focused workflow.

Api

Built around api for a focused workflow.

Docker

Built around docker for a focused workflow.

Fastapi

Built around fastapi for a focused workflow.

Open source

Inspect, fork, and modify every line of the code.

Self-hosted

Run it on your own machine β€” no account lock-in.

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// run it

Run it yourself

  1. Clone

    Get the source on your machine.

    git clone https://github.com/stackitcloud/rag-template.git
  2. Install

    Set up Python dependencies.

    cd rag-template && pip install -r requirements.txt
  3. Start

    Launch the application.

    cd rag-template && python main.py
// use cases

What you can build

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// faq

Questions, answered

What does rag-template do?

It template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI, giving you a working starting point you can run and adapt.

Is rag-template free to use?

Yes β€” the code is open-source, so you can use and modify it without a license fee.

How do I install rag-template?

Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.

What is rag-template written in?

It is primarily written in Python, so you will need that toolchain to build or extend it.

Where can I get help with rag-template?

The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.

// keep exploring

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// alternatives

Alternatives in RAG & Knowledge

The most-starred other RAG & Knowledge projects in the LibreAI catalogue β€” the realistic shortlist if rag-template is not the right fit.

Get rag-template

Free and open β€” grab the source, star the repo, and start creating.