NEOPOLIS AKADEMY
Text-to-Query Agents with MongoDB and LangGraph
Design text-to-query agents that convert instructions into MongoDB queries using LangGraph. A hands-on approach focused on building a text-analysis pipeline, safely generating queries, and integrating with a document database.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Introduction to the text-to-query agent concept and use cases for document databases.
Build a LangGraph pipeline to parse intent, extract filters and projections, and format a MongoDB query.
Techniques to prevent injection and validate query syntax before execution.
Practical integration: sending queries to MongoDB, error handling and fallback strategies.
STEP BY STEP
Course programme
01Text-to-Query Agents with MongoDB and LangGraph
Training on text-to-query agents using MongoDB and LangGraph. It explains the text-to-query workflow architecture, how to implement agents, and how to add memory and checkpointing for persistent interactions.
Overview of text-to-query agents and their application scenarios.
Detailed description of the text-to-query workflow and its components.
Architecture of a text-to-query agent and how to automate those workflows.
Adding memory and checkpointing in LangGraph to preserve context and agent state.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page