{"slug":"timescale-pgvector-semantic-search","source_name":"timescale/pgvector-semantic-search","name":"Timescale/Pgvector Semantic Search","description":"Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.\n\n**Trigger when user asks to:**\n- Store or search vector embeddings in PostgreSQL\n- Set up semantic search, similarity search, or nearest neighbor search\n- Create HNSW or IVFFlat indexes for vectors\n- Implement RAG (Retrieval Augmented Generation) with PostgreSQL\n- Optimize pgvector performance, recall, or memory usage\n- Use binary quantization for large vector dataset","version":1,"lift":{"pass_rate_delta_pts":31.82,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":134.5,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-12T16:13:51.175351+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":31.82,"with_pass_pct":95.5,"without_pass_pct":63.6,"tokens_delta_pct":134.5,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-12T16:13:51.175351+00:00","run_id":"ef1ea693-eaee-4b18-b85a-5b8be582a93c","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"Apache-2.0","install_count":0,"manifest_hash":"8af5febdad7721b43edc435614ac649fa52c0dda48713abe6839f7c83c14d940","raw_url":"https://app.decimal.ai/s/timescale-pgvector-semantic-search/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/timescale-pgvector-semantic-search"}