Viewing profile — ocolegro

Hey HN, We've just released R2R V3 with a completely RESTful API that covers everything you need for production RAG applications. The biggest change is our Git-like knowledge graph…

We've been using hatchet for cloud deployments and have really enjoyed the reliable execution / observability, congrats on the launch.

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

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.

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 / …

yes, I think so.

Awesome - interested to hear your thoughts / feelings after you get a chance to try it out.

its a optional dep used for kgs

I'm just seeing this now. The key advantages can be extracted from the response above to Kluless - R2R is built around RESTful API and is dockerized, so devs can get started on app…

No we don't have any explicit code graph tools. Sourcegraph might be a good starting point for you, their SCIP indices are pretty nice

great question, I can talk about how we do the more challenging "List all YC founders that worked at Google and now have an AI startup." For this we have a target dataset (the YC c…

See the guide here - https://r2r-docs.sciphi.ai/cookbooks/local-rag we have instructions for getting setup and running w/ ollama. It should be pretty smooth.

I can't answer for the kindly poster above (ty), but from our experience techniques like HyDE are great when you are getting a lot of comparative questions. For instance, if a user…

Is this an example that could benefit from something like knowledge graph construction or structured entity extraction? I'm just curious because we have theorized and seen in pract…

Currently R2R has out of the box logic for the following: csv, docx, html, json, md, pdf, pptx, txt, xlsx, gif, jpg, png, svg, mp3, mp4. There are a lot of good questions around in…

Have you tried it out yet, how does it compare with gpt-4o?

No not yet, I've had difficulty getting these different providers to work together on integrations. If you have any suggestions we are all ears. In the meantime we've built our own…

Yes, there is a guide to running R2R with local models here - https://r2r-docs.sciphi.ai/cookbooks/local-rag

We agree that ingestion and extraction are a big part of the problem for building high quality RAG. We've talked to a lot of different developers about these problems and haven't f…

Take a look here - https://r2r-docs.sciphi.ai/quickstart#ingest-data and here https://r2r-docs.sciphi.ai/cookbooks/client-server#ingest-do... Since multiple people have requested w…

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…

All the pipelines are async, so for ingestion we have typically seen that R2R can saturate the vector db or embedding provider. We don't yet have backpressure so it is up to the cl…

Sure, happy to. R2R is built around RESTful API and is dockerized, so devs can get started on app development immediately. The system was designed so that devs can typically scale …