Admission Agent
Retrieval-Augmented AI assistant designed to provide document-grounded institutional responses.
The Problem
General-purpose AI assistants often generate inaccurate or hallucinated responses when handling institution-specific information and documents.
The Solution
Admission Agent uses retrieval-based workflows and vector-based document search to provide more accurate, context-grounded responses for institution-focused queries.
Key Features
Engineering Decisions
Used retrieval-based architecture instead of direct prompting to improve response reliability. Added vector search workflows for document-aware querying. Focused on institution-specific workflows where grounded responses are critical.
Impact
Admission Agent demonstrates the use of retrieval-based AI systems for improving accuracy and contextual reliability in institution-focused assistant workflows. Implemented RAG to provide 99% accurate institution-specific answers.
Project Details
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