In this playbook, we will launch a personalization agent capable of generating revenue uplifts. The agent helps you map raw customer data to the recommended marketing experiences across email, website, and paid media.
This playbook walks you through building an ecommerce product analytics agent using BigQuery and LangGraph. The agent helps identify opportunities to increase average order value through product combinations, category analysis, and bundle recommendations.
In this tutorial, I will teach you LangChain as efficiently as possible by breaking down the framework into seven key components you need to understand to start developing more advanced LLM applications.
This tutorial will explore building dashboards using Large Language Models (LLMs) and LangChain. We will use LangChain chains to extract insights from BigQuery by first generating SQL and then pushing the generated SQL to BigQuery as views, forming the basis for interactive dashboards.
This guide helps data analysts, data scientists, and developers leverage LLMs for generating SQL queries from natural language questions, making complex data wrangling in BigQuery and other SQL databases more accessible and intuitive.
Building agents in Python has just become faster and more reliable. In this tutorial, you will learn how to build robust, type-safe AI agents in minutes with Pydantic AI.
In this playbook, we will launch a personalization agent capable of generating revenue uplifts. The agent helps you map raw customer data to the recommended marketing experiences across email, website, and paid media.
This agent will help you increase customer revenue on the web, via email, and through paid media. It helps determine when to engage customers and how to best communicate with them.
In this playbook, I will provide you with a template for quickly and effortlessly deploying AI Agents for a wide array of business use cases using serverless cloud functions.
In this tutorial, we will build a DeepSeek AI agent in pure Python. The solution is flexible and can easily be extended to a variety of real-world applications.
This playbook walks you through building an ecommerce product analytics agent using BigQuery and LangGraph. The agent helps identify opportunities to increase average order value through product combinations, category analysis, and bundle recommendations.
