What is the process for designing a semantic search engine that understands meaning?

question bank FDEBench bank Source

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Reference sketch

A short answer key carried over from the source. Not yet a graded rubric.

1. Convert text into vectors using embedding models. 2. Store vectors in a vector database. 3. Use cosine similarity to find the closest meanings at query time. 4. Re-rank results for quality before returning them.

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