Summary of the LLM Rank Tracker Dashboard:
Purpose: Create a dashboard to visualize and track how different Large Language Models (LLMs) rank and prioritize information sources.
Key Components: a. Main Dashboard (dashboard.tsx) b. Charts:
Ranking Distribution Chart (ranking-distribution-chart.tsx)
Mentions Bar Chart (mentions-bar-chart.tsx)
Position Line Chart (position-line-chart.tsx)
Model Comparison Chart (model-comparison-chart.tsx) c. Domain Rankings Table (domain-rankings-table.tsx) d. Data Types and Dummy Data (types/models.ts and data/dummy-data.ts)
Main Features:
Overview of key metrics (total domains, average position, total mentions, top position rate)
Tabs for different LLM providers (OpenAI, Anthropic, Mistral)
Charts visualizing various aspects of LLM rankings
Table showing detailed domain rankings
Data Structure:
ModelData: Includes provider, model, totalMentions, avgPosition, topPositionRate, domains
DomainRanking: Includes domain, totalMentions, avgPosition, topPosition, provider, model
Visualization Components:
Use Recharts library for creating responsive and interactive charts
Implement custom components for specific chart types (bar charts, line charts)
UI Framework:
Use shadcn/ui components for consistent styling and layout
Responsiveness:
Ensure the dashboard is responsive and works well on different screen sizes
Interactivity:
Implement interactive elements like tabs and tooltips for better user experience
When recreating this project, focus on:
By following these key points, you should be able to recreate a functional version of the LLM rank tracker dashboard in a new chat. Remember to adapt and expand on these features as needed for your specific use case.
I'd be happy to help you recreate the LLM Rank Tracker Dashboard based on the summary you provided. Let's start by setting up the basic structure and components for the dashboard.
Let's begin by creating the main dashboard component and the necessary types and dummy data.
This implementation creates a responsive and interactive LLM Rank Tracker Dashboard with the following features:
Four different chart types:
The dashboard uses shadcn/ui components for consistent styling and layout, and Recharts for creating responsive and interactive charts. The data is currently populated with dummy data, but you can easily replace it with real data from your backend or API.
To improve this dashboard further, you could:
Let me know if you want to expand on any specific part of this dashboard or if you have any questions!
The code returns the following error:
Error: The file "/app/data/dummy-data" cannot be found (imported in "/app/dashboard/page"). Make sure the file or alias exists in the correct location.
Revise the code to address the error.
I apologize for the error. Let's fix this issue by adjusting the import paths in our code.
Let's update the import paths in the affected files:
These changes should resolve the import error you encountered. The @/ prefix in the import statements is a common convention in Next.js projects to import from the root of the project, which helps avoid relative path issues.
After making these changes, the error should be resolved, and your dashboard should work as expected. If you encounter any other issues or have any questions, please let me know!
there should be a default tab as summary from all LLMs. within a given LLM provider, there should be a subtab to select a given model (e.g:, chatgpt-4o)