NASA-GPT: Retrieval-Augmented Generation using NTRS and more

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Science

Operational functions

Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case is an example of Retrieval-Augmented Generation (RAG), which roughly speaking is an AI-augmented form of search. It acts much like ChatGPT or one of the other services except that it also provides references.

Expected benefits

This use case is an example of Retrieval-Augmented Generation (RAG), which roughly speaking is an AI-augmented form of search. It acts much like ChatGPT or one of the other services except that it also provides references.

System outputs

answers

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

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

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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.

Potential impacts and how they were identified

Not reported