Definition
A curated, proprietary repository of structured and unstructured data architected specifically for RAG pipelines, serving as the authoritative context source to ground AI Agent responses. It requires balancing the trade-off between high data freshness (sync frequency) and retrieval performance/cost.
In RAG, this refers to the indexed, searchable state of corporate data (vectors/nodes), not the raw storage like SharePoint or S3 buckets.
"A secure, high-density vault where every paragraph has its own GPS coordinate and a security clearance tag for instant retrieval."
- Vector Database(Component)
- Semantic Search(Component)
- ETL Pipeline(Prerequisite)
- Grounding(Outcome)
Conceptual Overview
A curated, proprietary repository of structured and unstructured data architected specifically for RAG pipelines, serving as the authoritative context source to ground AI Agent responses. It requires balancing the trade-off between high data freshness (sync frequency) and retrieval performance/cost.
Disambiguation
In RAG, this refers to the indexed, searchable state of corporate data (vectors/nodes), not the raw storage like SharePoint or S3 buckets.
Visual Analog
A secure, high-density vault where every paragraph has its own GPS coordinate and a security clearance tag for instant retrieval.