Use embedding intuition to diagnose why semantically similar retrieval can still return the wrong context.
The assistant retrieves related articles, but not the right ones. Which setup issues explain why the assistant keeps retrieving billing articles for refund disputes? Mixed-topic chunks Correct. If one embedded chunk covers several issues, similarity search can retrieve the chunk for the wrong reason and pollute the LLM context. Archived policy still searchable Correct. Embeddings do not know a document is obsolete unless metadata filtering or index hygiene prevents it from being retrieved. Ambiguous acronyms left unexplained Correct. Similar-looking shorthand can cluster incorrectly unless chunks include enough disambiguating context. Only one test query Correct. Retrieval quality needs evaluation across realistic…
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