DOE · DOE-443 · record R3321

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Department of Energy · NREL - National Renewable Energy Laboratory (EE)

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Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: This AI use case is strictly used for general purpose generative AI functionality. It is internal only, and no data is shared outside of NREL.
Start date: 2025-06-01 (day precision)Source: 2025-06-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

Find insights in a database with a LLM summarizing the results

Expected benefits

Create an efficient and user-friendly system that enables users to query project data, such as funding, AUs (allocation units), project focus, and fiscal years, with natural language prompts.

System outputs

The system executes a query against a postgres database and displays an LLM-generated textual summary of returned query records. The system also displays the LLM generated queries.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): NREL Stratus System, NREL Azure System
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Microsoft
Vendors (standardized): Microsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Structured data from a PostgreSQL database containing information about HPC (High-Performance Computing) projects.
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported