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docs: provider and distro codegen migration (#3531)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> - Updates provider and distro codegen to handle the new format - Migrates provider and distro files to the new format ## Test Plan - Manual testing <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* -->
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@ -410,7 +410,7 @@ There are three implementations of search for PGVectoIndex available:
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- How it works:
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- Uses PostgreSQL's vector extension (pgvector) to perform similarity search
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- Compares query embeddings against stored embeddings using Cosine distance or other distance metrics
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- Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance
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- Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance
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-Characteristics:
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- Semantic understanding - finds documents similar in meaning even if they don't share keywords
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