Iterating On and Evaluating Production-Ready RAG Applications with Gemini and W&B Weave

  • Weights & Biases
  • Google Cloud
Iterating On and Evaluating Production-Ready RAG Applications with Gemini and W&B Weave

Webinar

Iterating and evaluating RAG applications can be tough without the right tools. In this session, you'll learn how to use Gemini and W&B Weave to efficiently build and scale production-ready RAG pipelines. We'll cover key techniques to boost accuracy, cut costs, and ensure reliability from POC to deployment.

With hands-on examples, we'll focus on optimizing retrievers, minimizing hallucinations, and improving query relevance. This session provides practical insights for AI engineers looking to streamline RAG applications with scalable solutions.

What you'll learn:

  1. Practical techniques for optimizing and deploying production-ready RAG applications using Gemini, while reducing costs and improving accuracy.
  2. Systematic approaches to evaluate, monitor, and manage RAG pipelines at scale with W&B Weave.
  3. Techniques for minimizing hallucinations, enhancing query relevance, and improving overall performance.
  4. Advanced retrieval and reranking methods to further optimize accuracy and reliability in production applications.

Speakers

  1. Scott Bekker Webinar Moderator Future B2B
  2. Anish Shah ML Engineer Weights & Biases
  3. To Be Announced Google Cloud