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Phase 3
Embeddings, Documents & Vector Stores
Give Spring AI access to your own data — embeddings, document ingestion, vector stores, and Retrieval-Augmented Generation (RAG) with QuestionAnswerAdvisor.
1
Grounding Answers in Your Own Data: Embeddings, Vector Stores & RAG
Stop the bot from guessing at policy questions. Embed your own documents, store them in a vector database, and wire retrieval into ChatClient with QuestionAnswerAdvisor.
spring-aiembeddingsvector-store
2
RAG Part 2: When Similarity Search Isn't Enough
Fix the three ways naive RAG breaks in production — vague queries, follow-up questions, and non-English input — with Spring AI's modular RetrievalAugmentationAdvisor.
spring-airagretrievalaugmentationadvisor