AI Agents with MongoDB / Conclusion
AI Agents with MongoDB
Excellent work! You learned how to:
Learning Objectives
Create a multi-tool AI Agent that leverages MongoDB: Learn how to build an agent and multiple tools that leverage data stored in your MongoDB database.
Understand how tools are called by agents: Define the decision-making capabilities of your agent to ensure it can easily leverage multiple tools.
Define memory for an AI Agent: Describe the role of long-term and short-term memory. Leverage MongoDB to implement memory for your agent.
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Resources
Use the following resources to learn more about AI agents and MongoDB.
- AI Agents with MongoDB Skill Code
- Checkpointers and Native Parent Child Retrievers
- Docs: Integrate MongoDB with LangGraph
- Docs: Build Agents
- Docs: Integrate Atlas Vector Search with LangChain
- Docs: Atlas Vector Search
- Docs: Query Your Data
- LangGraph
- LangChain AI
- LangChain: Tools
- MongoDB MCP Server
- voyage-3.5 and voyage-3.5-lite
- Voyage AI Text Embeddings