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    <title>Rag on CoderBoi</title>
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      <title>Part 4: Spring AI Building a RAG Pipeline</title>
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      <description>Build a Spring AI RAG pipeline: embed your documents, retrieve the relevant chunks, and feed them into a ChatClient prompt so the LLM answers from your own data.</description>
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      <title>Part 3: Spring AI Embeddings and Vector Stores</title>
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      <pubDate>Tue, 10 Feb 2026 10:00:00 +0000</pubDate>
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      <description>Generate embeddings and store them in a vector store with Spring AI: the EmbeddingModel, vector store options (Pgvector, Redis, in-memory), and similarity search.</description>
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      <title>To RAG or to Fine-Tune? Picking the Right Tool for the AI Job</title>
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      <pubDate>Tue, 10 Feb 2026 10:00:00 +0000</pubDate>
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      <description>RAG vs fine-tuning: how each works, their cost and maintenance trade-offs, when to choose which, and why most apps start with retrieval-augmented generation.</description>
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