Production-Ready RAG on Open Models: Chunking, Retrieval, Reranking & Evaluation
👉 Build Production RAG on Regolo Time commitment: 20 minutes for setup, 5 minutes per launch after deployment Naive RAG setups chunk blindly, embed…
Articles, research, and perspectives from this author.
👉 Build Production RAG on Regolo Time commitment: 20 minutes for setup, 5 minutes per launch after deployment Naive RAG setups chunk blindly, embed…
👉 Try LLamaIndex on Regolo now Searching through thousands of emails is tedious, slow, and often inaccurate with traditional keyword-based tools. Daniele Scasciafratte's demo…
👉 Try Fast Whisper on Regolo now Here the extract of the Eugenio Petullà's presentation from the recent Rome event, Build Your AI, highlights…
Learn how to spin up Cheshire Cat and plug it into Regolo’s OpenAI‑compatible endpoint using open‑source LLMs like Llama‑3.3‑70B‑Instruct, ready for enterprise. 👉 Try…
👉 Try crewAI with Deepseek-r1-70B on Regolo for free What is crewAI? CrewAI is a standalone, lean, and fast Python framework built specifically for…
Free event on January 15th in the vibrant city of Rome, at Frontiere's offices, located in Via Oslavia 6. The event is designed for…