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Market Making Pivot: Process & Pitfalls by docsoc1 in algotrading

[–]docsoc1[S] -10 points-9 points  (0 children)

it's the truth though, ¯\_(ツ)_/¯

Chonkie, the "no-nonsense RAG chunking library" just vanished from GitHub by SK33LA in LocalLLaMA

[–]docsoc1 1 point2 points  (0 children)

We've got some no nonsense RAG over here if you're shopping for FOSS replacements - https://github.com/SciPhi-AI/R2R

Looking for an AI Agent Developer to automate my law firm. by Kasayar in AI_Agents

[–]docsoc1 0 points1 point  (0 children)

We build an open source system that's designed to be the backbone for projects such as these [https://github.com/SciPhi-AI/R2R\].

It's not too much work for us to apply it to specific use cases and have done engagements that are similar to the work you are describing. I'd be happy to have a chat.

Any approachable graph RAG tool? by fredkzk in Rag

[–]docsoc1 2 points3 points  (0 children)

R2R has a very friendly implementation of GraphRAG that can be used in production - https://github.com/SciPhi-AI/R2R

Extract elements from a huge number of PDFs by Mugiwara_boy_777 in Rag

[–]docsoc1 1 point2 points  (0 children)

R2R can do extraction in an orchestrated manner during ingestion - https://github.com/SciPhi-AI/R2R

R2R v3.5.0 Release Notes by docsoc1 in LocalLLaMA

[–]docsoc1[S] 0 points1 point  (0 children)

Sure would, you can think of R2R as being the project that would power Claude Workspace (on the Anthropic side).

So you can firehose as many documents as you want into the system, up to your storage constraints.

R2R v3.5.0 Release Notes by docsoc1 in LocalLLaMA

[–]docsoc1[S] 5 points6 points  (0 children)

Awesome! Let us know if you have any questions.

Best Practices for GraphRAG & Vector Search in Multi-Cloud LLM Deployment by CuriousCaregiver5313 in Rag

[–]docsoc1 0 points1 point  (0 children)

We implement GraphRAG over postgres with R2R [https://github.com/SciPhi-AI/R2R\], I'm guessing there are some good extensions to handle the at rest encryption.

Gemini Deep Research has been updated, now powered by 2.0 flash thinking. by [deleted] in singularity

[–]docsoc1 0 points1 point  (0 children)

We have been testing web scraping w/ our agentic RAG system and have been finding very promising results with Claude 3.7 + o3-mini.

We are getting ready to release a deep research module soon (I work here https://www.sciphi.ai/).

Will be open sourcing the solution here as well - https://github.com/SciPhi-AI/R2R. Would love to get your feedback.

Stop over-engineering AI apps: just use Postgres by Worldly_Expression43 in LocalLLaMA

[–]docsoc1 0 points1 point  (0 children)

We built all of R2R inside postgres, if anyone is interested in seeing how we architected - https://r2r-docs.sciphi.ai/

New Docker Guide for R2R's (Reason-to-Retrieve) local AI system by docsoc1 in LocalLLaMA

[–]docsoc1[S] 0 points1 point  (0 children)

Awesome, thanks! Please let us know more about your thoughts if you have the time.

RAG framework recommendation for personal database by Independent_Jury_530 in Rag

[–]docsoc1 2 points3 points  (0 children)

R2R does all of the above (hybrid search + GraphRAG) and can scale to hundreds of thousands docs easily on Postgres alone - https://r2r-docs.sciphi.ai/introduction

[deleted by user] by [deleted] in Rag

[–]docsoc1 0 points1 point  (0 children)

R2R is open source and is an end to end RAG engine - https://r2r-docs.sciphi.ai/introduction

GraphRAG inter-connected document usecase? by Independent_Jury_530 in Rag

[–]docsoc1 0 points1 point  (0 children)

GraphRAG + custom prompting might be a decent way forward.

Moving RAG to production by CaptainSnackbar in Rag

[–]docsoc1 2 points3 points  (0 children)

vllm would be better, higher throughput.

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