GoonBuilding a Sophisticated Data Analysis System with AI Agents
In this comprehensive tutorial, we will explore how to create a team of AI agents that work together to analyze and visualize complex data sets stored in SQL databases. The system consists of three specialized agents: an orchestrator, a data retrieval agent, and a visualization agent.
Introduction to the Agents
Introduction to the team of AI agents
The orchestrator agent coordinates the entire workflow, the data retrieval agent works with SQL and the database, and the visualization agent displays the data analysis visually.
Agent Interactions
Agent interactions and workflow
These agents work together in tandem to gain deep insights into the data. They will be used to analyze historical data from the energy sector, including metrics like price, market cap, and ratings.
Data Analysis
Data analysis and visualization
The data analysis will involve unlocking insights into the data set, including production growth between 2023 and 2024, and visualizing this trend across companies.
Error Recovery
The system also includes an automatic error recovery system, which allows it to recover from errors and try again using a different method.
Agent Walkthrough
Walkthrough of the agent workflow
We will take a detailed walkthrough of how the agents work together, including the orchestrator agent, the data retrieval agent, and the visualization agent.
Setup and Tools
Setup and tools used in the project
The setup and tools used in the project include Superbase, a Postgres database, and OpenRouter, which allows access to various models.
Agent-as-a-Tool Pattern
Agent-as-a-tool pattern and its benefits
The agent-as-a-tool pattern is used to extend the power of the workflow, allowing for the addition of new agents and tools.
Conclusion and Results
Conclusion and results of the project
The team of AI agents has been able to gain deep insights into the data, including production growth and trends.
Advanced Topics and Further Learning
Advanced topics and further learning resources
For further learning, resources such as the Introduction to AI Automation with n8n and LangChain Udemy course are available.
Setup and Configuration
Setup and configuration of the project
The setup and configuration of the project involve creating a new project in Superbase, importing data, and setting up the agents.
Final Thoughts and Future Work
Final thoughts and future work on the project
The project has demonstrated the power of using a team of AI agents to gain insights into complex data sets.
Additional Resources
Additional resources and links for further learning
Additional resources, including links to the Introduction to AI Automation with n8n and LangChain Udemy course and the AI for Non-Coders Newsletter, are available for further learning.