feat: complete data-ml integration for Postgres - #1
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- add 5 Postgres schemas (model_memory, sae_dictionaries, semantic_cache, manifests, proof_bundles) - add operational scripts: init-db, doctor-deep, manifest-verify, model-memory-pack, sae-audit, semantic-cache-bench, proof-bundle-export, release-gate - add docs: quickstart, schema reference, scripts reference - add examples: docker compose, sample manifest, sample artifact, sample db init - add tests: validate-schemas and validate-scripts - add Python dependency for benchmark/export scripts (psycopg) - upgrade validate workflow to run against postgres:16 service - update README to active data-ml integration status
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Completes the seeded scaffold with a production-ready Postgres integration package.
Included
Validation