Description
Agents have become one of the most talked-about topics in the AI community, but much of the discussion focuses on its potential impact rather than practical implementation. This hands-on workshop will guide data scientists and engineers through building a complete workflow using LangGraph, and will show how to define custom tools, implement vector retrieval, leverage semantic caching, incorporate allow/block list routing, and structure model output for downstream consumption. In order to participate, attendees will need to have Python (3.11 or later), docker, an OpenAI api key, and the starter code for the project cloned.
Starter code: https://github.com/redis-developer/agents-redis-lang-graph-workshop
Note: participants can test their environment setup ahead of time by following the Readme and running python test_setup.py before the workshop.