Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

About this course

This is a self-paced lab that takes place in the Google Cloud console. Learn how to create an interactive application within a deployed environment.

What you will learn

• How LLMs process language and how RAG enhances their capabilities by retrieving relevant information from a knowledge base.
• Set up and interact with AlloyDB, a scalable and performant PostgreSQL database designed for demanding workloads.
• Explore LangChain's tools and components for building LLM-powered applications, including document loaders, prompt templates, and chains.