Metal

Fully-managed ML retrieval: embeddings, vector search, and RAG in an API.

What is Metal?

Metal is a fully-managed machine-learning retrieval platform for developers building AI products on their own data. Push text, images, files (CSV, PDF, DOCX, PPTX), or raw embeddings through its API; Metal chunks, embeds, and indexes everything into a managed vector database, then serves semantic search via a simple /search endpoint. Use cases span RAG chatbots, semantic search, image search with CLIP, clustering, and tabular analysis with LLMs. Integrations include OpenAI, LangChain, and TypeScript/JavaScript SDKs. A free Hobbyist tier (100k embeddings) gets you started; Developer and Enterprise plans scale from there.

Key features

  • Managed vector database with embedding pipeline
  • File ingestion: PDF, DOCX, CSV, PPTX, images
  • Semantic search API with filtered search
  • RAG-ready for chatbots and Q&A
  • OpenAI, LangChain, and TS/JS SDK integrations

Pros

  • No vector-DB infrastructure to manage
  • Free Hobbyist tier for prototyping
  • Clean API plus solid docs and examples

Cons

  • Inactive indexes auto-archive after 30 days
  • Usage caps per plan can bite fast
  • Less control than self-hosted alternatives

Metal at a glance

PricingFreemium
CategoryCoding & Development
Platformsweb, api
Official websitegetmetal.io
vector-databaseembeddingsragsemantic-searchdeveloper-api

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

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Metal FAQs

What is Metal?

Metal is a fully-managed machine-learning retrieval platform for developers building AI products on their own data. Push text, images, files (CSV, PDF, DOCX, PPTX), or raw embeddings through its API; Metal chunks, embeds, and indexes everything into a managed vector database, then serves semantic search via a simple /search endpoint. Use cases span RAG chatbots, semantic search, image search with CLIP, clustering, and tabular analysis with LLMs. Integrations include OpenAI, LangChain, and TypeScript/JavaScript SDKs. A free Hobbyist tier (100k embeddings) gets you started; Developer and Enterprise plans scale from there.

What are the main features of Metal?

Metal offers Managed vector database with embedding pipeline, File ingestion: PDF, DOCX, CSV, PPTX, images, Semantic search API with filtered search, RAG-ready for chatbots and Q&A and OpenAI, LangChain, and TS/JS SDK integrations.

How much does Metal cost?

Metal follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Metal?

Strengths of Metal include No vector-DB infrastructure to manage; Free Hobbyist tier for prototyping; Clean API plus solid docs and examples. On the downside, Inactive indexes auto-archive after 30 days; Usage caps per plan can bite fast; Less control than self-hosted alternatives.