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This Government Contract opportunity from Department Of Defense was posted on September 2, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

GenAI/RAG Engine Development and Integration

Closed
Federal

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The GenAI/RAG Engine Development and Integration subcontract for the Naval Information Warfare Systems under the Department of Defense focuses on the creation of a hybrid Retrieval-Augmented Generation architecture for NAVWAR PMW 160 projects. This initiative involves integrating dense vector semantic search with sparse keyword search to provide contextual guidance while utilizing strict grounding and Explainable AI features to eliminate hallucinations. Eligible providers must demonstrate expertise in LLM orchestration and vector databases, ensuring the technology meets a Technology Readiness Level of 6 or higher. The project is categorized under NAICS code 541511, with a response deadline of September 17, 2026.

General Info

DoD subcontract for GenAI/RAG engine development for NAVWAR, deadline September 17, 2026.

NAICS

541511 - Custom Computer Programming Services

Place of Performance

CA

Set-Aside

NONE

Documents

This scope was carved out of N0003926R9450.

The full solicitation package (6 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Generative Artificial Intelligence (GenAI) Electronic Performance Support System (EPSS) under CSO N0003925S001.

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Naval Information Warfare Systems
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops and implements a hybrid Retrieval-Augmented Generation (RAG) architecture for prime contractors on NAVWAR PMW 160 projects. Combines dense vector semantic search with sparse keyword search, implements strict grounding to prevent hallucinations, and develops Explainable AI (XAI) features. Requires TRL 6 or higher and expertise in LLM orchestration and vector databases. Delivers a functional AI framework for contextual guidance.

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