{"slug":"openlair-faiss","source_name":"openlair/faiss","name":"Openlair/Faiss","description":"Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.","version":1,"lift":{"pass_rate_delta_pts":9.09,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":96,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-07T19:53:11.714588+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":9.09,"with_pass_pct":100,"without_pass_pct":90.9,"tokens_delta_pct":96,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-07T19:53:11.714588+00:00","run_id":"b9fd008e-d64e-4456-85c5-1becb8d7e631","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":"MIT","install_count":0,"manifest_hash":"0f9c3f83615a840eeb3a97a8639c7970ece87332e7bb28aa7b58e67ab3607c5b","raw_url":"https://app.decimal.ai/s/openlair-faiss/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openlair-faiss"}