RAG Infrastructure

Production infrastructure for Retrieval-Augmented Generation: ingest documents, generate embeddings, store in vector databases, and serve grounded LLM responses.

When to Use This Skill

Use this skill when:

• Building a knowledge base Q&A system over internal documents
• Implementing semantic search over large document collections
• Reducing LLM hallucinations with retrieved context
• Setting up embedding pipelines and vector store infrastructure
• Deploying hybrid search (dense + sparse/BM25)

Prerequisites