Definition
In the context of AI agents, a Knowledge Base is an operationalized repository of domain-specific data that has been chunked, embedded, and indexed to enable semantic retrieval during the RAG process. It serves as the externalized context window, allowing models to access facts without retraining on the source data.
Unlike a traditional help center (FAQ), this refers to the high-dimensional vector space or graph index used for machine-led retrieval.
"A digital warehouse where every item is assigned a precise GPS coordinate (embedding) based on its meaning, allowing an automated forklift (retriever) to find specific information without scanning every shelf."
- Vector Database(Component)
- Embedding(Prerequisite)
- Chunking(Prerequisite)
- Retrieval-Augmented Generation(System Context)
Conceptual Overview
In the context of AI agents, a Knowledge Base is an operationalized repository of domain-specific data that has been chunked, embedded, and indexed to enable semantic retrieval during the RAG process. It serves as the externalized context window, allowing models to access facts without retraining on the source data.
Disambiguation
Unlike a traditional help center (FAQ), this refers to the high-dimensional vector space or graph index used for machine-led retrieval.
Visual Analog
A digital warehouse where every item is assigned a precise GPS coordinate (embedding) based on its meaning, allowing an automated forklift (retriever) to find specific information without scanning every shelf.