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RAG & Knowledge Systems

Raggenie

Raggenie is an open-source, low-code RAG builder for creating conversational AI applications grounded in connected databases, documents and websites, with configurable actions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Raggenie — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Raggenie when assembling a custom RAG chatbot around connected data and, where needed, adding configured actions to the conversation.

Who it is for

  • Developers building conversational applications over structured or document-based data.
  • Teams creating distinct internal chatbots for different tasks and knowledge bases.

Documented uses

  • Build a chat interface that answers questions using connected databases, documents, CSV files or website content.
  • Configure chat capabilities that collect required parameters and trigger actions, including database fetches and inserts.
  • Embed a chat widget in a website or portal using the documented JavaScript UI plugin.
Before you choose

Requirements & limits

The public GitHub repository identifies Raggenie as open source under the MIT license.

  • Listed model inference providers are OpenAI, Together.ai, Ollama and AI71.
  • The README documents a Python backend and offers pip or Poetry dependency installation.
  • The documented local identity setup uses Docker and Docker Compose with Zitadel.
  • The repository describes the project as early-stage and says its current focus is making RAG applications easier to build.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install backend dependencies and prepare Zitadel

Follow the repository’s documented backend dependency and local Zitadel setup stages.

Before you start

  • A Python environment for the backend
  • Docker and Docker Compose
  • The Raggenie repository and its requirements.txt

Steps

  1. Install backend dependencies with the command below, or use the documented Poetry installation path and run poetry install.

    Documented command
    pip install -r requirements.txt

  2. Start the Zitadel container with docker-compose -f zitadel-docker-compose.yaml up -d.

  3. Open http://localhost:8080 and sign in with the default credentials listed in the README.

  4. Create a service user, set its access token type to JWT, create and download a key, and assign the user Org Owner permission.

Expected outcome

Backend dependencies are installed and the README’s local Zitadel setup reaches the service-user and key configuration stage.

Guide limitations

  • The README continues with identity-provider and environment-variable configuration; this guide does not cover the remaining setup or running Raggenie.
  • Repository instructions do not establish that setup will work unchanged in every environment.
Documentation 1 ↗Documentation 2 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
sirocco-ventures/raggenie · Official homepage title · retained in its source language
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