Spring AI Is All You Need
summary
Spring AI is a Java framework that turns integration into the core problem and provides a portable client API, embedding models, ETL readers and a vector store abstraction (PGVector, Chromadb, local options) to build RAG pipelines. Code examples show output converters that map model responses to POJOs, chat memory, and function calling that invokes backend APIs; a demo loads PDFs into embeddings and a flight‑booking assistant cancels bookings by calling real functions, reducing hallucinations with retrieval and evaluation loops. Providers include OpenAI, Azure, Bedrock, Vertex Gemini, Anthropic and local Llama models.
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chapters (18)
- 0:00Intro
- 0:58Journey to GenAI
- 4:30Applying GenAI
- 6:08Capabilities
- 7:37Constraints
- 12:33Demo
- 13:31GenAI patterns
- 13:53Demo: System prompt
- 17:44Demo: Output converters
- 20:28Demo: Prompt stuffing
- 22:55Demo: RAG
- 31:46Demo: Chat memory
- 33:44Demo: Function calling
- 39:39Demo: Multimodality
- 40:53Demo: Evaluation
- 42:05Demo: Semantic search
- 44:14Use case
- 53:15Outro
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