User Satisfaction Analyst Agent

Project from the first cohort of the AI Engineering Buildcamp, by Carlos Pumar-Frohberg.

The architecture uses a Docker pipeline to fetch Stack Exchange data and dump it into two stores: MongoDB for unstructured data and Neo4j for graph data. An orchestrator agent decides where to route user questions: if the question is about "what" or "how," it goes to the MongoDB agent; if it's about relationships, it goes to a "Cipher" agent that translates natural language into graph queries. Carlos noted that the orchestrator often calls both agents simultaneously to be on the safe side.

Tech stack: Docker, MongoDB, Neo4j, orchestrator agent, Cipher (NL → Cypher).

Carlos's LinkedIn · Watch the Demo Day