Machine learning embeddings as a service
Metal does machine learning embeddings as a service. Embeddings are what AI models use to represent meaning. They capture the relationship between concepts, and they’re at the heart of every generative AI application, like ChatGPT and DALL-E. As the data format of machine learning, embeddings are critical to every AI application. But there are no existing tools that help developers use them. Metal is a fully managed service for developers to build applications with embeddings. We handle all of the infrastructure, provide out of the box operations, and simple APIs. Skip the complexity, ship faster with Metal 🤘
Active Founders
Company Launches
Overview
Motörhead is an open-source memory and information retrieval server for LLMs. Built and supported by Metal.
As LLM usage becomes more widely adopted, modern software products must handle users' LLM interactions, chat sessions, and retrieval for relevant prompting context at scale. With much of the performance cost being on the prompting to APIs like OpenAI and other LLMs, contextual data retrieval is ideally as fast as possible.
Features
- 🪄 Modern strategies to stay within the prompt window
- 💬 Chat session management out of the box
- 🦜 Langchain integration
- 🧠 Automatic Embedding generation via OpenAI ADA
- 🕸️ Redis Vector DB forto utilize RedisSearch (semantic)
- 💽 Short-term & long-term storage
- 🔥 Built in Rust for performance
Roadmap
- User Authentication
- Knowledge Graph Memory handling
- Additional support for other Embedding Models
- Create an issue!
Resources
- Check out Motörhead on Github
- Join the Motörhead Discord
- Suggest a feature for Motörhead