I’m excited to announce that I have open-sourced my AI agent project, which leverages the power of Next.js and the AI SDK!
This AI agent is designed to access the full documentation of Tailwind CSS v3 using Retrieval-Augmented Generation (RAG). It allows users to ask questions and receive accurate responses based on the official documentation, making it a valuable tool for developers looking to enhance their Tailwind CSS skills.
RAG Implementation: Combines retrieval and generation techniques to provide precise answers.
Embeddings: Each URL from the Tailwind CSS documentation is stored as a resource in the database, with corresponding embeddings for efficient retrieval.
Why Open Source?
I believe in the power of community and collaboration. By open-sourcing this project, I hope to encourage others to contribute, provide feedback, and help improve the AI agent. Whether you’re a developer, designer, or just curious about AI, I welcome your input!
I’m excited to announce that I have open-sourced my AI agent project, which leverages the power of Next.js and the AI SDK!
This AI agent is designed to access the full documentation of Tailwind CSS v3 using Retrieval-Augmented Generation (RAG). It allows users to ask questions and receive accurate responses based on the official documentation, making it a valuable tool for developers looking to enhance their Tailwind CSS skills.
RAG Implementation: Combines retrieval and generation techniques to provide precise answers.
Embeddings: Each URL from the Tailwind CSS documentation is stored as a resource in the database, with corresponding embeddings for efficient retrieval.
Why Open Source? I believe in the power of community and collaboration. By open-sourcing this project, I hope to encourage others to contribute, provide feedback, and help improve the AI agent. Whether you’re a developer, designer, or just curious about AI, I welcome your input!