Clinical Query Assistant is a context-aware system that intelligently surfaces only the most relevant patient data—such as labs, vitals, and notes—for each clinical visit using Voyage AI embeddings and Fireworks AI models. Built for the MongoDB Agentic Memory & Context Engineering Hackathon, it organizes longitudinal health records into a clear, explainable interface that reduces physician cognitive overload without offering medical advice.
More from Agentic Memory & Context Engineering Hackathon
Our tool helps patients with dementia by surfacing real-time context on the person they are talking to.
- ContextScope Eval is an open-source evaluation and observability framework for agent-to-agent context sharing. It measures how effectively autonomous agents…
Ever struggled to find that perfect article you read last week? That tutorial video you can't quite remember the name of? WebBrain transforms your browser…

The Airbnb Travel Booking Assistant is a personalized AI concierge that curates stays based on each traveler’s unique style and past experiences. Instead of…

KitchenPal is an AI-powered cooking assistant that leverages multiple independent Retrieval-Augmented Generation (RAG) workflows to provide personalized…
Incident Copilot is a seeded-RAG assistant for on-call engineers. It uses MongoDB Atlas Vector Search, Voyage embeddings with reranking, and Google Gemini to…
