Prompt Content
Design the RAG pipeline that your Content Researcher agent will leverage. Detail the complete process from ingesting publisher content (e.g., Markdown, HTML articles) into a chosen vector database to retrieving the most relevant chunks based on a given user query. Explain how embedding models will be selected and managed for optimal retrieval.
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