RAG Implementation

Build Retrieval-Augmented Generation systems that extend AI capabilities with external knowledge sources.

Overview

This skill covers: document processing, embedding generation, vector storage, retrieval configuration, and RAG pipeline implementation.

When to Use

• Building Q&A systems over proprietary documents
• Creating chatbots with factual information from knowledge bases
• Implementing semantic search with natural language queries
• Reducing hallucinations with grounded, sourced responses
• Building documentation assistants and research tools
• Enabling AI systems to access domain-specific knowledge

Instructions