Spring AI: Streamlining Java Enterprise AI Development and Deployment
summary
Spring AI supplies portable API abstractions for multiple AI model APIs and vector databases, plus an ETL pipeline that imports PDFs and JSON into embeddings; the demo uses Spring CLI commands (spring boot new, spring boot add AI Azure) to create an app that calls a chatClient (sync and streaming), builds a RAG pipeline that answers a PDF-backed question correctly instead of returning a constellation, and deploys to Azure Spring Apps via spring asa deploy; code generation adds JPA entities and tests and successfully compiles.
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chapters (8)
- 0:00Spring AI for Java developers
- 2:28Java developers building AI apps
- 5:45Spring AI app architecture
- 7:32Spring CLI for AI setup
- 15:46Retrieval Augmented Generation with Spring AI
- 21:16RAG demo with nonprofit use case
- 23:46Code generation with Spring AI
- 26:45Closing remarks
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