Deploy Nomic Embed

Generate high-quality text embeddings with Google's best model

Deploy Nomic Embed

Nomic Embed Text

ollama/ollama

Just deployed

/root/.ollama

Auth Proxy

FraglyG/CaddyAuthProxy

Just deployed

Deploy and Host Nomic Embed Text on Railway

Nomic Embed Text is an 8192 context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context tasks.

Released in February 2024, it was the first long-context embedding model to outperform OpenAI's flagship embedding models and features Matryoshka learning for variable-sized embeddings between 64 and 768 dimensions.

About Hosting Nomic Embed Text

Hosting Nomic Embed Text provides access to one of the best embedding models available, offering exceptional performance on both monolingual and multilingual tasks with an extended 8192 token context window.

The deployment handles long-form document processing, semantic similarity computations, and supports variable embedding dimensions through Matryoshka representation learning. This allows you to trade off embedding size for performance based on your specific needs, making it ideal for applications requiring flexible, high-quality text representations without external API dependencies.

Common Use Cases

  • Long Document Analysis: Process entire documents, research papers, and books with 8192 token context support
  • Semantic Search Engines: Build powerful search systems that understand context and meaning across large text corpora
  • RAG Applications: Power retrieval-augmented generation with superior long-context understanding
  • Document Clustering: Group similar documents and content with high-precision semantic understanding
  • Multilingual Applications: Handle text embedding across multiple languages with consistent quality
  • Memory-Efficient Deployments: Use variable embedding dimensions (64-768) to optimize for your performance requirements

Dependencies for Nomic Embed Text Hosting

  • Ollama Runtime: Serves the Nomic Embed Text model through standardized embedding API endpoints
  • Authentication Proxy: Secures access to your embedding generation service
  • Long Context Processing: Handles extended token sequences up to 8192 tokens efficiently

Deployment Dependencies

Implementation Details

This template is a distro of the Ollama API template but comes pre-configured with NomicEmbedText.

Example API Requests:

POST /api/embeddings

Headers: Authorization: 
     Bearer your-api-key
     Content-Type: application/json

Body: {
  "model": "nomic-embed-text:latest",
  "prompt": "Your text content up to 8192 tokens"
}

Why Deploy Nomic Embed Text on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Nomic Embed Text on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


Template Content

Nomic Embed Text

ollama/ollama

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