Building Agents with MongoDB Atlas & Galileo A Step-by-Step Guide
AI Summary
This is a technical tutorial video that provides a step-by-step guide for building AI agents using MongoDB Atlas and Galileo for monitoring and observability. The video demonstrates the integration of these tools with LangChain.
Key Steps Covered:
MongoDB Atlas Setup
- Create a MongoDB Atlas account and set up a free cluster
- Configure network access by unblocking IP addresses for your machine
- Set up database credentials and specify database/collection names
- Create an index using LangChain integration
Galileo Configuration
- Sign up for Galileo and obtain an API key
- Set up environment variables (demonstrated using Google Colab)
- Create a new project and establish a log stream for data logging
Data Processing and Analysis
- Parse and ingest documents into the system
- Use Galileo’s console interface to analyze agent behavior
- Monitor agent traces to see retriever tool calls
- Review document chunks and attribution scores through the interface
Target Audience:
AI developers and engineers working with LangChain agents who need monitoring and observability tools for their AI applications.
Technical Tools Mentioned:
- MongoDB Atlas (database)
- Galileo (AI observability platform)
- LangChain (AI framework)
- Google Colab (development environment)
The video serves as a practical introduction to setting up agent monitoring infrastructure, focusing on the integration between database storage (MongoDB) and AI observability (Galileo) for better understanding of agent performance and behavior.