DaTaobao Tech
Mar 19, 2025 · Artificial Intelligence
Retrieval Augmented Generation (RAG): Principles, Challenges, and Implementation Techniques
Retrieval‑augmented generation (RAG) enhances large language models by integrating a preprocessing pipeline—cleaning, chunking, embedding, and vector storage—with a query‑driven retrieval and prompt‑injection workflow, leveraging vector databases, multi‑stage recall, advanced prompting, and comprehensive evaluation metrics to mitigate knowledge cut‑off, hallucinations, and security issues.
EvaluationLLMRAG
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