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Text-to-Query Agents with MongoDB and LangGraph

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2 hr
1,050 XP
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Course Description

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!
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  1. 1

    Text-to-Query Agents: Applications and Architecture

    Free

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

    Play Chapter Now
    Text-to-query agents
    50 xp
    Get set up for the hands-on exercises
    100 xp
    The text-to-query workflow
    50 xp
    Writing MongoDB queries
    100 xp
    More complex aggregations
    100 xp
    A text-to-query workflow in practice
    100 xp
  2. 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.

    Play Chapter Now
    The text-to-query agent architecture
    50 xp
    Building the agent's toolbox
    100 xp
    Creating the text-to-query prompt
    100 xp
    Orchestrating the text-to-query agent
    100 xp
  3. 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.

    Play Chapter Now
    Memory and checkpointing in LangGraph
    50 xp
    Adding memory to the agent
    100 xp
    Congratulations!
    50 xp
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Training 2 or more people?

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collaborators

Collaborator's avatar
James Chapman

prerequisites

Introduction to Functions in Python
Apoorva Joshi HeadshotApoorva Joshi

Senior AI/ML Developer Advocate, MongoDB

Apoorva is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers build AI applications through written content and hands-on workshops. She has spoken at popular AI conferences such as the AI Engineer World's Fair, ODSC, and SDSC, and her content has been featured on platforms such as O'Reilly and DataCamp.
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