intermediateSpring AI — Core, ChatClient & RAG

Explain the full RAG ingestion pipeline in Spring AI.

Load with a DocumentReader (Pdf/Text/Tika), split with TokenTextSplitter into chunks (512-1024 tokens with 10-20% overlap is a common starting point), embed each chunk with an EmbeddingModel, and store chunks+metadata+embedding via VectorStore.add(documents).

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Explain the full RAG ingestion pipeline in Spring AI.

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