Summary

In this chapter, we provided a comprehensive guide to building generative AI systems. You learned about the importance of having an architecture design framework and a central repository, as well as establishing architecture principles. We emphasized the necessity of clearly defining your use case and mapping tasks to architecture capabilities.

Then, we walked you through reference technical designs for document ingestion and storage, context retrieval, model interaction, and user-facing components. From this, you gained insights into recommended Google Cloud components and best practices for each stage. You also learned a little bit about securing your generative AI system and enterprise readiness and compliance.

With this final chapter, we conclude our journey through building and deploying generative AI applications with LangChain on Google Cloud. We started with the fundamentals of LangChain and the foundation models that are available on Google Cloud, explored techniques...