refs #739: preserve Smilegate changes before repository layout migration

This commit is contained in:
devmrko
2026-08-03 11:12:19 +09:00
parent 022ae7f9d2
commit 4d2964b5c6
58 changed files with 3002 additions and 291 deletions

View File

@@ -0,0 +1,57 @@
-- Prefer an exact approved customer QA question over semantically adjacent
-- vector neighbours. This is a general retrieval rule; it does not encode
-- a game, metric, table, or customer-case-specific SQL policy.
CREATE OR REPLACE FUNCTION sg_qa_vector_search(
p_question IN CLOB,
p_top_k IN PLS_INTEGER DEFAULT 3,
p_target_type IN VARCHAR2 DEFAULT 'ANY'
) RETURN SYS_REFCURSOR
AUTHID DEFINER
IS
v_query_vector VECTOR;
v_results SYS_REFCURSOR;
v_target_type VARCHAR2(16) := UPPER(TRIM(NVL(p_target_type, 'ANY')));
BEGIN
IF p_question IS NULL THEN
RAISE_APPLICATION_ERROR(-20003, 'question is required.');
END IF;
IF p_top_k IS NULL OR p_top_k < 1 OR p_top_k > 20 THEN
RAISE_APPLICATION_ERROR(-20004, 'top_k must be between 1 and 20.');
END IF;
IF v_target_type NOT IN ('NONE', 'SINGLE', 'MULTI', 'ALL', 'ANY') THEN
RAISE_APPLICATION_ERROR(-20005, 'target_type must be NONE, SINGLE, MULTI, ALL, or ANY.');
END IF;
v_query_vector := DBMS_VECTOR.UTL_TO_EMBEDDING(
p_question,
JSON(sg_qa_vector_params('search_query'))
);
OPEN v_results FOR
SELECT example_id,
question,
answer_sql,
answer_text,
embedding_model,
reference_kind,
target_type,
object_role,
source_case_id,
source_type,
vector_distance(embedding, v_query_vector, COSINE) AS cosine_distance
FROM sg_qa_vector_example
WHERE reference_status = 'APPROVED'
AND (target_type = 'ANY' OR v_target_type = 'ANY' OR target_type = v_target_type)
ORDER BY CASE
WHEN DBMS_LOB.COMPARE(
LOWER(TRIM(question)), LOWER(TRIM(p_question))
) = 0 THEN 0
ELSE 1
END,
vector_distance(embedding, v_query_vector, COSINE),
example_id
FETCH FIRST p_top_k ROWS ONLY;
RETURN v_results;
END;
/