Retrieval, Memory & Knowledge
Indexing
Organising content so it can be searched efficiently.
Definition
Indexing is the process of pre-processing and storing content in a format that enables efficient search. For AI systems, this typically involves converting documents into embeddings and storing them in a vector database, along with metadata about the source. A well-maintained index is critical for search quality, stale, duplicated, or missing content in the index will produce poor retrieval results regardless of the quality of the AI model.
Related Terms
Vector Database
A database that stores embeddings and allows searching by meaning rather than keywords.
Chunking
Splitting documents into smaller pieces for more effective retrieval and processing.
RAG (Retrieval-Augmented Generation)
Combining an LLM with a search system so it can look up current or specific information before responding.
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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