Session Description

The challenges of building effective AI systems today echo the early days of web search: we are still struggling to get the context right. But where we once had simple user queries, we now have complex agents demanding structured context that scales faster than any past user.
The key to context has always been finding ways to accumulate, structure, and recall relevant knowledge across interactions, at the point where knowledge graphs and vector search converge.
In this talk, we connect the dots between the old problem of user context and the new reality of Agentic AI, and show accessible ways to create context for both people and programs.
What you will learn in this session while we walk through a solution built only with open-source tools:
1) How to deliver meaningful context to people and agents
2) The tradeoffs between common retrieval approaches
3) Practical patterns you can apply to build more reliable AI applications