rag
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
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