Building of on-premise RAG AI system pipeline

This proposed project aims to apply the emerging and open source large language models (LLMs) systems, particularly Retrieval-Augmented-Generation (RAG) pipelines, to generate the deployment scheme of the cryptographic product for different application environments of end customers. The semi-automation of generating the deployment scheme helps improve the scalability of business by the increase of productivity while keeping the private and sensitive data used behind the firewall.

Faculty Supervisor:

Judene Pretti

Student:

Partner:

BicDroid Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Business Strategy Internship

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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.