RAG Pipelines

Purpose: Build production-grade Retrieval-Augmented Generation systems that ground LLM responses in authoritative knowledge.

When to Use This Skill

• Building document Q&A systems grounded in enterprise knowledge
• Implementing semantic search over unstructured documents
• Designing chunking strategies for different document types
• Selecting and configuring vector databases for retrieval
• Implementing hybrid search (keyword + semantic) and reranking
• Optimizing retrieval quality (precision, recall, faithfulness)

Prerequisites