Neural Search Talks: Using LLMs for Evaluation and Agentic Search with Ragelo скачать в хорошем качестве

Neural Search Talks: Using LLMs for Evaluation and Agentic Search with Ragelo

Welcome to Zeta Alpha's first RAG Meetup in San Francisco! In this session, Fernando Rejon Barrera, CTO at Zeta Alpha, discusses the use of Large Language Models (LLMs) for evaluating and enhancing agentic search capabilities with the help of the Ragelo toolkit. He discusses the automation of the evaluation process by introducing an Elo-ranking system to compare retrieval strategies and RAG systems iteratively, while also showcasing a live demo of Zeta Alpha's Agents SDK environment, which enables seamless integration of customized retrieval logic into production. Check out the first part of this meetup here:    • Neural Search Talks: Finetuning Embeddings...   Zeta Alpha is focused on transforming internal expertise into generative AI capabilities for enterprises. Learn more by visiting the platform and trying our public index for AI research at https://zeta-alpha.com