Interested in building more intelligent chatbots? This session explores how to implement Retrieval-Augmented Generation (RAG) using Firebase Genkit and Astra DB. We'll walk through how Genkit simplifies the process of developing GenAI applications by providing helpful tools for managing models, prompts, indexers, and retrieval.

We'll guide you through the essential steps of setting up your application, creating an Astra DB database, and configuring Genkit. You'll see how to bring in web data, set up indexing processes, and use the Genkit interface for testing. We'll then demonstrate how to create a RAG flow to pull relevant information from your database and generate responses using the Gemini 2.0 Flash model. Discover how straightforward it can be to build effective RAG applications with Genkit and Astra DB.

During this session, you’ll learn:

• How to get started with Genkit
• How to build and test RAG components with Astra DB
• How to integrate Genkit flows into your application