VA · VA-25-1102 · record R2151

OpenAI Embedding Generation for Future Vector Search of Banking Data

Department of Veterans Affairs · OIT: Office of Information & Technology

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: Not reported

Mission

Topic area: Information Technology
Operational functions: Document processing and extraction, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The current design of a long term document for a banking partner consists of cloud blob storage which are registered into a database with metadata. A future phase will require full-text document search. We can OCR this information now, and implementing vector embeddings would dramatically help individuals find the specific documents. PNC bank will save documents for 7 years and wants to be able to find specific documents.

Expected benefits

Increased efficiency of document retrieval in long term document archive.

System outputs

An API will be exposed to a secure VA-internal website where appropriate personelle will use the UI, which will make an API call which returns a list of semantic search matches.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
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.

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