/** * Data used in guide MDX files. * * This data is passed to MDX files via scope to avoid using `export const` * within MDX content, which is not supported by next-mdx-remote. * * @see https://github.com/hashicorp/next-mdx-remote#import--export */ export const guidesData = { // apps/docs/content/guides/self-hosting.mdx selfHostingCommunity: [ { name: 'Kubernetes', description: 'Helm charts to deploy a Supabase on Kubernetes.', href: 'https://github.com/supabase-community/supabase-kubernetes', }, { name: 'Traefik', description: 'A self-hosted Supabase setup with Traefik as a reverse proxy.', href: 'https://github.com/supabase-community/supabase-traefik', }, ], // apps/docs/content/guides/ai.mdx aiExamples: [ { name: 'Headless Vector Search', description: 'A toolkit to perform vector similarity search on your knowledge base embeddings.', href: '/guides/ai/examples/headless-vector-search', }, { name: 'Image Search with OpenAI CLIP', description: 'Implement image search with the OpenAI CLIP Model and Supabase Vector.', href: '/guides/ai/examples/image-search-openai-clip', }, { name: 'Hugging Face inference', description: 'Generate image captions using Hugging Face.', href: '/guides/ai/examples/huggingface-image-captioning', }, { name: 'OpenAI completions', description: 'Generate GPT text completions using OpenAI in Edge Functions.', href: '/guides/ai/examples/openai', }, { name: 'Building ChatGPT Plugins', description: 'Use Supabase as a Retrieval Store for your ChatGPT plugin.', href: '/guides/ai/examples/building-chatgpt-plugins', }, { name: 'Vector search with Next.js and OpenAI', description: 'Learn how to build a ChatGPT-style doc search powered by Next.js, OpenAI, and Supabase.', href: '/guides/ai/examples/nextjs-vector-search', }, ], aiIntegrations: [ { name: 'OpenAI', description: 'OpenAI is an AI research and deployment company. Supabase provides a simple way to use OpenAI in your applications.', href: '/guides/ai/examples/building-chatgpt-plugins', }, { name: 'Amazon Bedrock', description: 'A fully managed service that offers a choice of high-performing foundation models from leading AI companies.', href: '/guides/ai/integrations/amazon-bedrock', }, { name: 'Hugging Face', description: "Hugging Face is an open-source provider of NLP technologies. Supabase provides a simple way to use Hugging Face's models in your applications.", href: '/guides/ai/hugging-face', }, { name: 'LangChain', description: 'LangChain is a language-agnostic, open-source, and self-hosted API for text translation, summarization, and sentiment analysis.', href: '/guides/ai/langchain', }, { name: 'LlamaIndex', description: 'LlamaIndex is a data framework for your LLM applications.', href: '/guides/ai/integrations/llamaindex', }, ], // apps/docs/content/guides/storage.mdx storageExamples: [ { name: 'Resumable Uploads with Uppy', description: 'Use Uppy to upload files to Supabase Storage using the TUS protocol (resumable uploads).', href: 'https://github.com/supabase/supabase/tree/master/examples/storage/resumable-upload-uppy', }, ], }