Data Engineering
Knowledge Base
A structured repository of information that AI agents can search and reference when answering questions or making decisions.
Definition
An organized collection of documents, FAQs, procedures, and data that serves as the authoritative source of truth for AI systems. Combined with RAG, it grounds AI responses in verified, current information.
Why it matters
The quality of your knowledge base directly determines the quality of your AI's answers, invest here first.
Related terms in Data Engineering
Batch Processing
Processing a large group of data all at once on a schedule, rather than one piece at a time in real-time.
Chunking Strategies
Chopping up long documents into small, bite-sized pieces so an AI can search and read them easily.
Data Augmentation
Creating fake but realistic training examples (like flipping or rotating images) to give the AI more data to learn from.
Data Labeling
The human work of tagging data with correct answers so an AI can learn from it, like marking photos as "cat" or "dog."
From vocabulary to outcomes
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