Retrieval-Augmented Generation (RAG) Tutoring System Integration

Texas A&M University is seeking a subcontractor to develop and integrate a retrieval-augmented generation (RAG) tutoring system designed to deliver real-time, context-aware academic support using authoritative engineering course materials. The system must leverage verified educational content to provide accurate, tailored responses to student inquiries, ensuring pedagogical integrity and alignment with engineering curricula. Implementation requires robust data ingestion, secure knowledge base management, and natural language processing capabilities that enable dynamic, conversational tutoring without relying on generic or unverified sources. The contract is structured as a subcontract with a NAICS code of 541512, indicating it falls under computer systems design and related services. The solicitation was posted on July 31, 2026, and responses are due by August 27, 2026. While no specific location for performance or point of contact is provided, the project is tied to Texas A&M University’s broader academic technology initiatives. All work must be completed in accordance with institutional standards for educational technology, data privacy, and academic rigor, with the final system intended for direct use by engineering students and faculty.