Add legacy AI, RAG vector and Data Safe audit scenarios
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This commit is contained in:
Rodrigo Pace
2026-05-08 12:21:47 -03:00
parent 5cd8752a90
commit 703e072682
37 changed files with 686 additions and 23 deletions

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SET PAGESIZE 100
SET LINESIZE 220
PROMPT RAG retrieval simulation: retrieve chunks closest to the question embedding.
SELECT chunk_id,
document_title,
department,
classification,
chunk_text,
VECTOR_DISTANCE(embedding, TO_VECTOR('[0.85,0.15,0.25]'), COSINE) AS distance
FROM dds_rag_chunks
ORDER BY distance
FETCH FIRST 5 ROWS ONLY;