[vintagedave]

> R2R is a lightweight repository that you can install locally with `pip install r2r`, or run with Docker

Lightweight is good, and running it without having to deal with Docker is excellent.

But your quickstart guide is still huge! It feels very much not "quick". How do you:

* Install via Python

* Throw a folder of documents at it

* Have it set there providing a REST API to get results?

Eg suppose I have an AI service already, so I throw up a private Railway instance of this as a Python app. There's a DB somewhere. As simple as possible. I can mimic it at home just running a local Python server. How do I do that? _That's_ the real quickstart.

[ocolegro]

You are right that the quickstart is pretty large, we will think about how we can trim that and show only the essentials.

To do what you are requesting is pretty easy, you can just launch the server and use the client directly. The code would look like this:

```python

from r2r import R2RClient

base_url = "http://localhost:8000" # or other

client = R2RClient(base_url)

# load my_file_paths

...

response = client.ingest_files(file_paths=my_file_paths)

# optionally set metadata, document ids, etc.. [https://r2r-docs.sciphi.ai/api-reference/endpoint/ingest_fil...]

```

[vintagedave]

Thankyou! I appreciate that, that's a good mini-start, ie quickstart :)

I have an AI service that I need to add RAG too, running as a direct Python server, and I can see running this as a second service being very useful. Much appreciated.