Fredy

HEYYYY there is a new version of Aquiles-RAG that includes internal speed improvements and adds new security layers to obtain a better result in both indexing and searching 🥳🔨💥⛏️

We are improving and implementing new things to improve RAG recovery and maintain backward compatibility🥳💥

Hey hello everyone, quick update we've released a short video on how to deploy Aquiles-RAG in Render :D Video: https://www.youtube.com/watch?v=lCe6txLoHeg

A BIG THANK YOU TO EVERYONE ON THE Aquiles-RAG LAUNCH, we've gone from 3 stars to 14 stars on GitHub, thank you so much for the feedback and support :D

I’ve been developing Aquiles-RAG for about a month. It’s a high-performance RAG server that uses Redis as the vector database and FastAPI for the API layer. The project’s goal is to provide a production-ready infrastructure you can quickly plug into your company or AI pipeline, while remaining agnostic to embedding models — you choose the embedding model and how Aquiles-RAG integrates into your...