
2/3/2026 · Manas Chopra
What this post added
This post details the winners of the Sketch & Search hackathon, showcasing how Qdrant was used as a memory layer in agentic retrieval systems. The winning projects (Prometheus, Roast My Snack, AutoScape) utilized Qdrant for storing embeddings of past assets, prompts, and outcomes to enable reuse, consistency, and grounded outputs. Prometheus used Qdrant to search prior targets for prompt/camera templates. Roast My Snack used Qdrant for semantic search to inform age-adaptive roasts. AutoScape employed a Qdrant-powered RAG system with a curated plant database for grounded landscape designs.