Text-to-Query Agents with MongoDB and LangGraph

Overview

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph. 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!

Syllabus

• Text-to-Query Agents: Applications and Architecture
Learn how to build text-to-query agents so you can have conversations with your data!
• 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.
• 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.

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Taught by

Apoorva Joshi

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Subjects

Computer Science