Definition
A sequence of orchestrated operations that extract relevant information from a data corpus to ground an LLM's response, typically involving query expansion, vector search, and result refinement. The primary architectural trade-off involves balancing retrieval latency against the precision and recall of the context provided to the agent.
Distinguish from 'Indexing,' which is the pre-processing of data; Retrieval is the runtime execution of finding that data.
"A multi-stage industrial water filtration system that progressively removes debris to deliver a specific, purified concentrate."
- Query Expansion(Component)
- Vector Database(Component)
- Cross-Encoder Re-ranking(Component)
- Semantic Search(Prerequisite)
Conceptual Overview
A sequence of orchestrated operations that extract relevant information from a data corpus to ground an LLM's response, typically involving query expansion, vector search, and result refinement. The primary architectural trade-off involves balancing retrieval latency against the precision and recall of the context provided to the agent.
Disambiguation
Distinguish from 'Indexing,' which is the pre-processing of data; Retrieval is the runtime execution of finding that data.
Visual Analog
A multi-stage industrial water filtration system that progressively removes debris to deliver a specific, purified concentrate.