Just added a new lesson to the Discovery Engine course showing how to build an AI agent that queries the Open Targets Platform using natural language.
What you'll learn:
- Setting up an n8n AI agent with GraphQL tools
- Querying gene-disease associations conversationally
- Integrating Open Targets + PubMed in one workflow
- Handling complex multi-step research questions
2-minute demo video shows the agent finding top Parkinson's genes, checking drug status, retrieving pathways, and pulling recent research papers - all from natural language questions.
Includes:
- Complete n8n workflow template (import-ready)
- System prompt with Open Targets GraphQL schema
- Setup guide + troubleshooting
Check it out in Classroom → Discovery Engine → TalkToOpenTargets lesson.
Questions? Drop them below