RAG, graphs, or both? The new playbook for knowledge discovery agents in life sciences
November 3, 2026
5:00 PM CET / 11:00 AM EST / 8:00 AM PST
30 minutes
Join the live session to get a practical playbook for building reliable knowledge discovery agents in life sciences.
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Building reliable knowledge discovery agents requires combining the best model for your use case, a well-engineered harness, and the right retrieval architecture for grounding: RAG, a knowledge graph, or a combination of both.
What to expect
- How to choose the right LLM for life sciences use cases
- When to use RAG, knowledge graphs, or a hybrid approach
- A practical implementation playbook based on real customer projects
Your speakers
Miriam Kümmel
AI Engineer, CEO
Mathis Lucka
AI Engineer, CTO