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Free Lesson
Dropbox: Knowledge Graphs, Prompt Optimizers, and MCPs
60 min
Dec 2, 2025 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
Deciding whether to index or not
Understand the tradeoffs and decision framework for when indexing makes sense in your RAG system
Building knowledge graphs for retrieval
Learn the technical approach and measurable customer impact from building graph-based retrieval systems
Solving MCP tool sprawl
Discover how super retrieval tools and codegen consolidate multiple tools into streamlined, functional systems
Why this topic matters
Production RAG requires architectural decisions most tutorials skip: whether to index, how to structure knowledge for complex retrieval, when prompt optimization compounds value, and solving tool sprawl before it kills performance. This session shows you the tradeoffs and implementations that separate demos from systems handling real user queries at scale.
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
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Josh Clemm
VP of Engineering, Dropbox
worked with
