Design RAG Pipeline for Medical Context

planningChallenge

Prompt Content

Design a Retrieval Augmented Generation (RAG) pipeline using LangChain/LlamaIndex. Specify how medical knowledge bases (e.g., synthetic PubMed abstracts, clinical guidelines) will be chunked, embedded, and stored in a vector database. How will you ensure that retrieved documents are relevant to complex clinical queries?

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