Metal
Metal is your production-ready, fully-managed, ML retrieval platform. Use Metal to find meaning in your unstructured data with embeddings. Metal is a managed service that allows you to build AI products without the hassle of managing infrastructure. Integrations with OpenAI, CLIP, and more. Easily process & chunk your documents. Take advantage of our system in production. Easily plug into the MetalRetriever. Simple /search endpoint for running ANN queries. Get started with a free account. Metal API Keys to use our API & SDKs. With your API Key, you can use authenticate by populating the headers. Learn how to use our Typescript SDK to implement Metal into your application. Although we love TypeScript, you can of course utilize this library in JavaScript. Mechanism to fine-tune your spp programmatically. Indexed vector database of your embeddings. Resources that represent your specific ML use-case.
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Base AI
The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command. Developers use Base AI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using Langbase (creators of Base AI). Base AI is web-first with TypeScript support and a familiar RESTful API. Integrate AI into your web stack as easily as adding a React component or API route, whether you're using Next.js, Vue, or vanilla Node.js. With most AI use cases on the web, Base AI helps you ship AI features faster. Develop AI features on your machine with zero cloud costs. Git integrates out of the box, so you can branch and merge AI models like code. Complete observability logs let you debug AI-like JavaScript, and trace decisions, data points, and outputs. It's like Chrome DevTools for your AI.
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AI SDK
The AI SDK is a free, open source TypeScript toolkit from the creators of Next.js that gives developers unified, high-level primitives to build AI-powered features quickly across any model provider by changing a single line of code. It abstracts common complexities like streaming responses, multi-turn tool execution, error handling and recovery, and model switching while remaining framework-agnostic so builders can go from idea to working application in minutes. With a unified provider API, developers can generate typed objects, compose generative UIs, and deliver instant, streamed AI responses without reinventing plumbing, and the SDK includes documentation, cookbooks, a playground, and community-driven extensibility to accelerate development. It handles the hard parts under the hood while exposing enough control to get under the hood when needed, making integration with multiple LLMs seamless.
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Supavec
Supavec is an open source Retrieval-Augmented Generation (RAG) platform designed to help developers build powerful AI applications that integrate seamlessly with any data source, regardless of scale. As an alternative to Carbon.ai, Supavec offers full control over your AI infrastructure, allowing you to choose between a cloud version or self-hosting on your own systems. Built with technologies like Supabase, Next.js, and TypeScript, Supavec ensures scalability, enabling the handling of millions of documents with support for concurrent processing and horizontal scaling. The platform emphasizes enterprise-grade privacy by utilizing Supabase Row Level Security (RLS), ensuring that your data remains private and secure with granular access control. Developers benefit from a simple API, comprehensive documentation, and easy integration, facilitating quick setup and deployment of AI applications.
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