Individual skill

rag-data-pipeline

Use when designing, building, or debugging a RAG (Retrieval-Augmented Generation) data pipeline — document ingestion, chunking strategies (fixed/recursive/semantic/structure-aware), embedding models (OpenAI/Cohere/sentence-transformers), vector stores (pgvector/Chroma/Qdrant/Weaviate), incremental refresh, hybrid retrieval (dense + BM25 + RRF), re-ranking with cross-encoders, metadata filtering, and production monitoring.

skills/rag_pipeline/SKILL.md

Source commit 75f49e7bf30c9908a0921911755abb6cc6c01f7b

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Last checked

Nov 6, 2026

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