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Support changed the return policy last week and my RAG bot is still quoting the old one.
What you'll have at the end
A RAG answer that quotes this week's return policy, with every chunk from the retired version gone from the index instead of merely outranked.
You need
A RAG pipeline that already chunks, embeds, and inserts documents into a vector store whose records you can also delete, by id or by a metadata filter.
Not covered
Detecting that a source document changed in the first place, through a webhook or a content-management alert; this starts from already knowing an edit happened.
Checked 15 Aug 2026
Part of the RAG (Retrieval Augmented Generation) cookbook