Retrieval, Memory & Knowledge
Knowledge Base
A structured collection of documents or data that an AI can search through.
Definition
In the context of AI, a knowledge base is the collection of documents, articles, policies, manuals, or structured data that an AI system can retrieve information from. Building a quality knowledge base — ensuring content is accurate, up to date, well-organised, and comprehensive — is as important as the AI model itself for knowledge-intensive applications. Garbage in, garbage out applies equally to AI knowledge bases.
Related Terms
RAG (Retrieval-Augmented Generation)
Combining an LLM with a search system so it can look up current or specific information before responding.
Vector Database
A database that stores embeddings and allows searching by meaning rather than keywords.
Document QA
Using an LLM to answer questions based on specific uploaded documents.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Retrieval, Memory & Knowledge·Knowledge Base