Comment by vanillax | Hacker News Reader

Comment by vanillax | Hacker News Reader

The quick start is defiantly not quick. You really should provide a batteries included docker compose with Postgres image ( docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0 )

If I want to use dashboard I have to clone another repo? 'git clone git@github.com:SciPhi-AI/R2R-Dashboard.git' ? why not make it available in a docker container so that if im only interested in rag I can plug into the docker container for dashboard?

This project feels like a collection of alot of things thats not really providing any extra ease to development. It feels more like joining a new company and trying to find out all the repo and set everything up.

This really looks cool, but Im struggling to figure out if its a SDK or suite of apps or both but in the later case the suite of apps is really confusing if i have to still write all the python, then it feels more like a SDK?

Perhaps provide better "1 click" install experience to preview/show case all the features and then let devs leverages the r2r lalter...

thanks, this is really solid feedback - we will make a more inclusive docker image to make the setup easier/faster.

Think of R2R as an SDK with an out of the box admin dashboard / playground that you can plug into.

The installation instructions should be:

1. Download this docker compose file.

2. Run docker compose using this command.

3. Upload your first file (or folder) of content using this command.

It's fine to have to pip install the client, but it might be worth also providing an example curl command for uploading an HTML/text/PDF file.

The quickstart confused me because it started with python -m r2r.quickstart.example or something. It wasn't clear why I need to run some quickstart example, or how I would specify the location of my doc(s) or what command to run to index docs for real. Sure I could go read the source, but then it's not really a quick start.

Also it would be good to know:

- how to control chunk size when uploading a new document

- what type(s) of search are supported. You mention something about hybrid search, but the quickstart example doesn't explain how to choose the type of search (I guess it defaults to vector search).

HTH

Thanks I agree that would be a more streamlined introduction.

The quickstart clearly has too much content in retrospect, and the feedback here makes it clear we should simplify.

new docs are out if anyone was still wanting that, thanks.

GP quote

<< 1. Download this docker compose file. << 2. Run docker compose using this command. << 3. Upload your first file (or folder) of content using this command.

I think I will throw in the towel for now ( tomorrow is just a regular workday and I need some sleep:D ). I went the docker route with local ollama. Everything seems up, but I get an almost empty page.

To your point, I did not see the stuff GP asked for ( this is the file, this is how you run it and so on ). If I missed that, please let me know. I might be going blind at this point.

Will try again tomorrow, sleep well HN.

I did follow up and try this and all my issues are resolved. Thanks!

Do you really need pgvecto-rs? It isn't supported on RDS, Google, Azure, etc. It complicates deployment everywhere.

Reply on news.ycombinator.com