{"slug":"jeremylongshore-langchain-embeddings-search","source_name":"jeremylongshore/langchain-embeddings-search","name":"Jeremylongshore/Langchain Embeddings Search","description":"Build and query vector stores with LangChain 1.0 without getting burned by\nflipped score semantics, embedding-dim mismatches, reranker quirks, and\nchunk-splitter bugs. Use when building a RAG pipeline, choosing between FAISS /\nPinecone / Chroma / PGVector, filtering by similarity score, or adding a reranker.\nTrigger with \"langchain embeddings\", \"vector store similarity search\",\n\"langchain RAG retrieval\", \"FAISS score\", \"Pinecone score\", \"reranker score\".","version":1,"lift":{"pass_rate_delta_pts":22.73,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":83.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-30T19:06:02.979817+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":22.73,"with_pass_pct":95.5,"without_pass_pct":72.7,"tokens_delta_pct":83.7,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":21,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-30T19:06:02.979817+00:00","run_id":"72b9193b-ad3b-4302-9bc8-6e657391b39b","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":"12eeaea1390d9aa1c0aecf779389ce36c87406d77887d7c75270209648ddcfd6","raw_url":"https://app.decimal.ai/s/jeremylongshore-langchain-embeddings-search/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/jeremylongshore-langchain-embeddings-search"}