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!
It's so frequent how many people come to me saying they just need a developer to create their 1 billion dollar startup idea. They spill so many trendy words: AI, LLM, disruption, innovation, but most of the time they have no idea how this works, so I decided to create a post explaining why they need to validate their idea before asking people to develop their product.
Brazilian here. In fact, he rejects the term. Some people of his staff deny global warming and he is known for lying and using fake science to justify absurd measures, like removing most of the environmental protection in favor of agriculture. Even rejecting the title, he is known like "Captain Chainsaw" and many others nicknames, most of them mocking him. Unfortunately, in Brazil, our people have a taste for populist presidents, and in this case, he still have support of a big part of the population. Fortunately, his popularity is declining very fast.
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!