The easiest way to use Agentic RAG in any enterprise.
As simple to configure as OpenAI's custom GPTs, but deployable in your own cloud infrastructure using Docker. Built using LlamaIndex.
Get Started · Endpoints · Deployment · Contact
To run, start a docker container with our image:
docker run -p 8000:8000 ragapp/ragappThen, access the Admin UI at http://localhost:8000/admin to configure your RAGapp.
You can use hosted AI models from OpenAI or Gemini, and local models using Ollama.
Note: To avoid running into any errors, we recommend using the latest version of Docker and (if needed) Docker Compose.
The docker container exposes the following endpoints:
- Admin UI: http://localhost:8000/admin
- Chat UI: http://localhost:8000
- API: http://localhost:8000/docs
Note: The Chat UI and API are only functional if the RAGapp is configured.
RAGapp doesn't come with any authentication layer by design. You'll have to protect the /admin and /api/management paths in your cloud environment to secure your RAGapp.
This step heavily depends on your cloud provider and the services you use.
A common way to do so using Kubernetes is to use an Ingress Controller.
Later versions of RAGapp will support to restrict access based on access tokens forwarded from an API Gateway or similar.
You can easily deploy RAGapp to your own infrastructure with one of these Docker Compose deployments:
It's easy to deploy RAGapp in your own cloud infrastructure. Customized K8S deployment descriptors are coming soon.
Move to src/ragapp directory and start with these commands:
export ENVIRONMENT=dev
poetry install --no-root
make build-frontends
make devNote:
Make sure you have the Poetry installed.
To check out the admin UI during development, please go to http://localhost:3000/admin.
Questions, feature requests or found a bug? Open an issue or reach out to marcusschiesser.