Concept · Building with AI

RAG

Also called: retrieval-augmented generation, retrieval augmented generation, retrieval, knowledge base, chat with your documents

Retrieval-augmented generation. A setup where an AI tool first looks up relevant passages in your own documents and then hands them to an LLM to answer from, so the answer is based on your material.

For example: A support assistant gets a question, pulls the two most relevant pages from your help center and writes its answer from those pages.

Connects to 20

• Vector database Concept
• Embedding Concept
• Hallucination Concept
• Chunking Concept
• Reranking Concept
• Hybrid search Concept
• Training Concept
• Context window Concept
• Fine-tuning Concept
• Knowledge cutoff Concept
• Contextual knowledge Concept
• Knowledge graph Concept
• Lexical search Concept
• Answer engine optimization Concept
• Context engineering Concept
• Perplexity Tool
• Custom GPTs Tool
• Gemini Notebook Tool
• Firecrawl Tool
• Blue J Tool