R2R
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SciPhi-AI
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
I do not like using LiteLLM as an intermediary to communicate with anthropic, is there any plans to offer direct support with them?
The README stats that the SciPhi cloud platform will also be open sourced. What is the approximate timeline for this, and why was this choice made?
Objective: Make pdf to text `Adapter` based on `pdf2image` and Azure OCR. Resources: - [Ingestion pipeline docs](https://r2r-docs.sciphi.ai/core-features/ingestion) - [Default Adapters](https://github.com/SciPhi-AI/R2R/blob/main/r2r/core/adapters/base.py) - [Reducto Adapter](https://github.com/SciPhi-AI/R2R/blob/main/r2r/core/adapters/advanced/reducto.py)
The task for this issue is to add a pipeline which facilitates scraping of provided URLs. The class should confirm to typical pipeline format seen elsewhere in the codebase and...
Hey, I was thinking of creating a knowledge graph from the extracted entities of the documents. We could first extract the entities and then these entities could be the edges...
Build and Trigger workflow fails in the forked repo. We don't need to run that workflow in a forked repo. We can update the workflow file to check if it...
