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Text-to-Query Agents with MongoDB and LangGraph

中级技能水平
更新时间 2026年3月
Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.
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PythonArtificial Intelligence2 小时5 视频13 练习1,050 经验值成就声明

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课程描述

Have you ever wished that your could chat with your database? This is now a possibility with LLMs and AI agents. In this course, you'll learn how to interact and chat with a MongoDB database instance, using LangGraph for agent orchestration. You'll learn about the challenges and value of text-to-query workflows, build your own to answer data-related questions about a movies dataset, and even implement memory checkpointing to pick up your conversations where they left off!

先决条件

Introduction to Functions in Python
1

Text-to-Query Agents: Applications and Architecture

Learn how to build text-to-query agents so you can have conversations with your data!
开始章节
2

Automating Text-to-Query Workflows with Agents

Make your text-to-query workflow agentic! Building and orchestrating AI agents with LangGraph will allow you to create smart and dynamic text-to-query workflows.
开始章节
3

Adding Memory to the Agent

Integrate a short-term memory into your text-to-query agent so it doesn't have to re-run queries to combine insights.
开始章节
Text-to-Query Agents with MongoDB and LangGraph
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