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🏁 Now it is possible to chat with telemetry data from real Formula 1 races!
🏁 Now it is possible to chat with telemetry data from real Formula 1 races!
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This is an AI-powered solution for analyzing and generating detailed reports on Formula 1 racing sessions. This project combines the power of ReAct agents from LangChain with a RAG approach to pull data from a SQL database.
This is an AI-powered solution for analyzing and generating detailed reports on Formula 1 racing sessions. This project combines the power of ReAct agents from LangChain with a RAG approach to pull data from a SQL database.
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At the core of this system is a text-to-SQL capability that allows users to ask natural language questions about various aspects of F1 races, such as driver performance, weather impact, race strategies, and more. The AI agent then queries the database, processes the information, and generates comprehensive reports tailored to the user's needs.
At the core of this system is a text-to-SQL capability that allows users to ask natural language questions about various aspects of F1 races, such as driver performance, weather impact, race strategies, and more. The AI agent then queries the database, processes the information, and generates comprehensive reports tailored to the user's needs.
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The reports can be exported in various formats, making it easy to share insights with team members, race fans, or the broader motorsports community.
The reports can be exported in various formats, making it easy to share insights with team members, race fans, or the broader motorsports community.
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(The project is in beta, some erros may occur)
(The project is in beta, some erros may occur)
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Check it out:
Check it out:
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resource
https://huggingface.co/spaces/Draichi/Formula1-race-debriefing
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Draichi/Formula1-race-debriefing
https://huggingface.co/spaces/Draichi/Formula1-race-debriefing
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https://github.com/Draichi/formula1-AI
https://github.com/Draichi/formula1-AI
🏁 Now it is possible to chat with telemetry data from real Formula 1 races!

This is an AI-powered solution for analyzing and generating detailed reports on Formula 1 racing sessions. This project combines the power of ReAct agents from LangChain with a RAG approach to pull data from a SQL database.

At the core of this system is a text-to-SQL capability that allows users to ask natural language questions about various aspects of F1 races, such as driver performance, weather impact, race strategies, and more. The AI agent then queries the database, processes the information, and generates comprehensive reports tailored to the user's needs.

The reports can be exported in various formats, making it easy to share insights with team members, race fans, or the broader motorsports community.

(The project is in beta, some erros may occur)

Check it out:

- https://huggingface.co/spaces/Draichi/Formula1-race-debriefing
- https://github.com/Draichi/formula1-AI
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Anton Butov
AntonButov
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