AI tech talk series: Search

Most agent demos run on a small, tidy dataset. Production doesn’t.

Retrieval that returns clean answers against a few thousand records can fall apart once it’s up against a few million vectors, and by the time a team notices, the agent has already shipped.

This session sets up the base app you’ll build on for the rest of the series and gets retrieval working with Redis Search, so it’s fast at demo scale and still fast once the data grows.

We’ll cover how Redis Search handles hybrid retrieval, vector plus filters, in the same round trip, and why sub-millisecond lookups matter once an agent is making several retrieval calls per turn, not just one.

• Set up the base app used across the series.
• Get retrieval working with Redis Search.
• See why retrieval that works in a demo often breaks in production.