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116 lines
4.2 KiB
PL/PgSQL
116 lines
4.2 KiB
PL/PgSQL
-- ADR-110 GCP-A Primary Embedding 升級：nomic-embed-text 768 → bge-m3 1024 維
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-- 2026-05-04 ogt + Claude Sonnet 4.6
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--
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-- 背景：
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-- GCP-A (34.143.170.20) 無 nomic-embed-text，改用 bge-m3:latest（專用 embedding 模型）
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-- bge-m3 產生 1024 維向量，現有 schema vector(768) 不相容，INSERT 會直接失敗
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--
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-- 影響範圍：
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-- 1. knowledge_entries.embedding vector(768) → vector(1024)
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-- 2. rag_chunks.embedding vector(768) → vector(1024)
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-- 3. playbook_embeddings.embedding vector(768) → vector(1024)
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--
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-- 遷移策略：清空現有向量資料，切換維度後由 re-embed script 重新嵌入
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-- 現有向量資料若要保留，需先 dump 用 nomic 格式備份（舊維度無法轉換）
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--
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-- 執行前置條件：
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-- 1. pgvector >= 0.5.0 (已滿足)
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-- 2. 確認現有向量資料是否需要備份（重要 playbook 建議先備份）
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-- 3. embedding service 已切換到 bge-m3（models.json v1.4.0）
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--
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-- 回滾方式：執行 embedding_rollback_768.sql（需重新嵌入至 nomic-embed-text 格式）
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BEGIN;
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-- 1. knowledge_entries：備份舊向量並清空，變更欄位維度
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CREATE TABLE IF NOT EXISTS knowledge_entries_embedding_backup_20260505 AS
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SELECT
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id,
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embedding::text AS embedding_768,
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NOW() AS backed_up_at
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FROM knowledge_entries
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WHERE embedding IS NOT NULL;
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ALTER TABLE knowledge_entries
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ALTER COLUMN embedding TYPE vector(1024)
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USING NULL; -- 清空現有 768 維向量（維度不可轉換）
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COMMENT ON COLUMN knowledge_entries.embedding IS
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'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-05 ADR-110 follow-up)';
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-- 2. rag_chunks：清空向量資料，變更欄位維度
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-- ivfflat index 必須先 DROP 才能 ALTER COLUMN
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DROP INDEX IF EXISTS idx_rag_chunks_embedding;
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ALTER TABLE rag_chunks
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ALTER COLUMN embedding TYPE vector(1024)
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USING NULL; -- 清空現有 768 維向量（維度不可轉換）
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-- 重建 ivfflat index（lists=100 適合 ~10k 筆以下資料）
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CREATE INDEX IF NOT EXISTS idx_rag_chunks_embedding
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ON rag_chunks
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USING ivfflat (embedding vector_cosine_ops)
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WITH (lists = 100);
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COMMENT ON COLUMN rag_chunks.embedding IS
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'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-04 ADR-110)';
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-- 3. playbook_embeddings：清空向量資料，變更欄位維度
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DROP INDEX IF EXISTS ix_playbook_embeddings_vec;
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ALTER TABLE playbook_embeddings
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ALTER COLUMN embedding TYPE vector(1024)
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USING NULL; -- 清空現有 768 維向量
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CREATE INDEX IF NOT EXISTS ix_playbook_embeddings_vec
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ON playbook_embeddings
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USING ivfflat (embedding vector_cosine_ops)
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WITH (lists = 100);
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COMMENT ON COLUMN playbook_embeddings.embedding IS
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'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-04 ADR-110)';
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COMMENT ON TABLE playbook_embeddings IS
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'Playbook 向量索引 — ADR-110 GCP-A bge-m3 1024 維 (2026-05-04)';
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-- 3. 驗證遷移結果
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DO $$
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DECLARE
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v_km_dim integer;
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v_rag_dim integer;
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v_pb_dim integer;
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BEGIN
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SELECT atttypmod INTO v_km_dim
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FROM pg_attribute
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JOIN pg_class ON attrelid = pg_class.oid
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WHERE relname = 'knowledge_entries' AND attname = 'embedding';
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SELECT atttypmod INTO v_rag_dim
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FROM pg_attribute
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JOIN pg_class ON attrelid = pg_class.oid
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WHERE relname = 'rag_chunks' AND attname = 'embedding';
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SELECT atttypmod INTO v_pb_dim
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FROM pg_attribute
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JOIN pg_class ON attrelid = pg_class.oid
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WHERE relname = 'playbook_embeddings' AND attname = 'embedding';
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-- pgvector atttypmod stores the configured dimension.
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IF v_km_dim != 1024 THEN
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RAISE EXCEPTION 'knowledge_entries.embedding 維度驗證失敗：expected 1024, got %', v_km_dim;
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END IF;
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IF v_rag_dim != 1024 THEN
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RAISE EXCEPTION 'rag_chunks.embedding 維度驗證失敗：expected 1024, got %', v_rag_dim;
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END IF;
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IF v_pb_dim != 1024 THEN
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RAISE EXCEPTION 'playbook_embeddings.embedding 維度驗證失敗：expected 1024, got %', v_pb_dim;
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END IF;
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RAISE NOTICE '✅ embedding 遷移驗證通過：knowledge_entries、rag_chunks、playbook_embeddings 均為 vector(1024)';
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END $$;
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COMMIT;
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