From aed7d0fc1dac506079c7558ad8e379f689221ecd Mon Sep 17 00:00:00 2001 From: Kyle Banker <11589+banker@users.noreply.github.com> Date: Wed, 29 Jan 2025 12:00:48 -0700 Subject: [PATCH] Update Readme.md --- Readme.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/Readme.md b/Readme.md index 9e60051..4bcbf02 100644 --- a/Readme.md +++ b/Readme.md @@ -3,12 +3,18 @@
-# Oregon Trail Agent Workshop +# Building AI Agents with Redis and LangGraph -In this workshop, we are going to use [LangGraph](https://langchain-ai.github.io/langgraph/) to create a tool calling LLM agent that can survive a set of Oregon Trail themed scenarios. Additionally, we will setup and configure a semantic cache, allow/block list router, and a vector retrieval tool. The final architecture will look like this: +In this workshop, we're using [LangGraph](https://langchain-ai.github.io/langgraph/) to create a tool-calling, LLM-based agent that can survive a set of Oregon Trail-themed scenarios. Additionally, we will setup and configure a semantic cache, allow/block list router, and a vector retrieval tool. The final architecture will look like this: ![arch](images/architecture.png) +# Background + +This workshop demonstrates AI agents by referencing a classic American video game known as "The Oregon Trail". Originally a text-based adventure game taking place in the mid-1800s USA, the goal of the game was to safely travel from Missouri to Oregon by wagon without succumbing to various threats and diseases. + +One of the game's well known lines, "You have died of dysentery," inspired this workshop's original title, "Dodging Dysentery with AI". + # Pre-requisites - [python == 3.12.8](https://www.python.org/downloads/release/python-3128/)