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Congratulations!

1. Congratulations!

Congratulations on making it to the end of the course! Let's recap everything you've learned.

2. The finished product!

You built a fully-functional text-to-query agent to essentially speak to your database. This agent converts user inputs into valid MongoDB queries, then executes them on the database to retrieve a result, and respond to the user's question.

3. Your agent's toolbox

This involved creating a toolset for the agent to execute to interact with the database,

4. Prompt engineering

designing a prompt to help the agent's LLM figure out what tools to use and when,

5. Agent orchestration

and connecting it all together with LangGraph.

6. Memory

You even implemented a short-term memory store for your agent using MongoDB , so your agent can return to and pick up where previous conversation left off.

7. What next?

To continue your AI journey with MongoDB, consider checking-out the resources listed here.

8. Congratulations!

Congratulations again! Have fun exploring and experimenting with text-to-query agents.

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