It combines memory/context engineering with Retrieval-Augmented Generation (RAG) using MongoDB Atlas vector search and OpenAI LLMs. The system intelligently decides whether to answer from session memory/summary or perform a full RAG search for each user query, optimizing both latency and relevance.
Team
Placement
ParticipantOur 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…
+1The 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…
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