Are your AI workflows delivering inconsistent results? How can you get Agents and RAG applications at accuracy levels to get into production more quickly?

Join Alejandro Cantarero, Field CTO AI at DataStax, and Rich Young, Partner Solutions Architect from Arize, for a deep dive into AI accuracy optimization. We’ll discuss real-life use cases and show you how to measure and improve retrieval-augmented generation (RAG) pipelines – and then demonstrate this with Langflow, Astra DB, NVIDIA AI Enterprise, and Arize Phoenix.

What you'll learn:

• How to measure AI accuracy using evaluation tools
• Boost retrieval accuracy with Hybrid Search (BM25 + Vector + Reranking)
• Build & evaluate a RAG system with Langflow, Astra DB & NVIDIA NeMo
• Use Cases: AI search, product recommendations, chatbot optimization