AI Systems · Systems and Thinking
Retrieval and Evaluation
Information retrieval means looking in a stored collection for material that may be relevant to what someone wants to know.
A Kinesema Atlas evaluation can compare retrieved results with a recorded expectation. Passing that check does not prove the knowledge collection is complete, an answer is true, or the method fits every use.
Sources & review
Evidence and review
How Atlas supports this record.
Atlas uses original Kinesema wording. These public sources support narrow parts of the record; they are not endorsements or proof of claims outside the roles shown below.
- Review
- Human reviewed
- AI assistance
- Yes—human reviewed
- Last reviewed
- 2026-08-19
Introduction to Information Retrieval — Chapter 1: Boolean retrieval
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze
- Used here for
- The general meaning of information retrieval, stored collections, and an information need.
- Source use
- Paraphrased from source
- Source type
- academic textbook section; Cambridge University Press; book published 2008
Introduction to Information Retrieval — Chapter 8: Evaluation in information retrieval
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze
- Used here for
- Relevance is judged against an information need, and retrieved results can include relevant and nonrelevant material.
- Source use
- Paraphrased from source
- Source type
- academic textbook section; Cambridge University Press; book published 2008
AI measurement and evaluation
National Institute of Standards and Technology
- Used here for
- Evaluation depends on named measurements, methods, tasks, tools, data, and operating context.
- Source use
- Paraphrased from source
- Source type
- official government program overview
This is a concise first-release record, not a complete course. Examples, terminology, and reviewed connections can grow through later public projections.
Follow the structure
Connected concepts
These are reviewed Atlas relationships, not suggestions inferred from page order or visual proximity. Open a boundary only when you want the extra detail.
Connected from
Agents and Tool Use
An agent may use retrieval to obtain material and evaluation to compare behavior or outcomes with a stated goal, policy, or expectation.
Connection boundary
Retrieving material or passing an evaluation does not grant permission to act, validate every tool result, or replace human review.
Connected from
Data, Datasets, and Algorithms
Retrieval looks through an identified collection, while evaluation can use recorded cases, expectations, and observations to check bounded behavior.
Connection boundary
This relationship does not prove that a collection is complete, that retrieved material is relevant, or that an evaluation method fits every use.
Connected from
Knowledge Representation
Retrieval can select inspectable material from a represented collection, and evaluation can compare the observed selection with a stated expectation.
Connection boundary
Retrieval does not train a model, prove the selected material true, or show that the representation is complete.
Connected from
Model Training and Inference
Training, inference, retrieval, and evaluation are different processes that can interact inside an AI-assisted system. Evaluation may inspect behavior at more than one of those layers.
Connection boundary
Passing a retrieval or model evaluation does not automatically prove answer truth, safety, accessibility, or general capability.