ocolegro

10 ms·

1. 1.▲
   Event Horizon Labs (YC W24) Is Hiring(ycombinator.com)

   1 points by ocolegro 7mo ago
2. 2.▲
   Event Horizon Labs (YC W24) Is Hiring(ycombinator.com)

   1 points by ocolegro 1y ago
3. 3.▲
   SciPhi (YC W24) Is Hiring(ycombinator.com)

   1 points by ocolegro 2y ago
4. 4.▲
   R2R: The Most Advanced AI Retrieval System (V3 API Release)(r2r-docs.sciphi.ai)

   1 points by ocolegro 2y ago|1 comments
5. 5.▲
   by ocolegro 2y ago

   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 architecture, but we've also unified all the core
6. 6.▲
   Triplex – OSS LLM that can build knowledge graphs from your laptop(sciphi.ai)

   2 points by ocolegro 2y ago|1 comments
7. 7.▲
   by ocolegro 2y ago

   We've been using hatchet for cloud deployments and have really enjoyed the reliable execution / observability, congrats on the launch.
8. 8.▲
   by ocolegro 2y ago

   new docs are out if anyone was still wanting that, thanks.
9. 9.▲
   by ocolegro 2y ago

   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.
10. 10.▲
    by ocolegro 2y ago

    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.
11. 11.▲
    by ocolegro 2y ago

    yes, I think so.
12. 12.▲
    by ocolegro 2y ago

    Awesome - interested to hear your thoughts / feelings after you get a chance to try it out.
13. 13.▲
    by ocolegro 2y ago

    its a optional dep used for kgs
14. 14.▲
    by ocolegro 2y ago

    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 development immediately. The system was designed so th
15. 15.▲
    by ocolegro 2y ago

    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
16. 16.▲
    by ocolegro 2y ago

    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 co directory) that we have around 100 questions ove
17. 17.▲
    by ocolegro 2y ago

    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.
18. 18.▲
    by ocolegro 2y ago

    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 asks "How does A compare to B" then the quer
19. 19.▲
    by ocolegro 2y ago

    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 practice that extraction is a way to answer questions which
20. 20.▲
    by ocolegro 2y ago

    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 ingestion today, so we will likely figure out how to intellige
21. 21.▲
    by ocolegro 2y ago

    Have you tried it out yet, how does it compare with gpt-4o?
22. 22.▲
    by ocolegro 2y ago

    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 dashboard which shows ingested documents, and has
23. 23.▲
    by ocolegro 2y ago

    Yes, there is a guide to running R2R with local models here - https://r2r-docs.sciphi.ai/cookbooks/local-rag
24. 24.▲
    by ocolegro 2y ago

    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 found a general consensus on what features are need
25. 25.▲
    by ocolegro 2y ago

    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 we are pushing a quick
26. 26.▲
    by ocolegro 2y ago

    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 wou
27. 27.▲
    by ocolegro 2y ago

    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 client to rate limit. Ingestion is pretty straightforward
28. 28.▲
    by ocolegro 2y ago

    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 data ingestion up to provider bottlenecks w/out extra w
29. 29.▲
    Show HN: R2R V2 – A open source RAG engine with prod features(github.com)

    251 points by ocolegro 2y ago|71 comments
30. 30.▲
    by ocolegro 3y ago

    So when is the crunchyroll integration rolling out?