curl -X POST "https://nyame.phillsite.com/api/v1/embeddings" \ -H "Authorization: Bearer YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "content": "This is the text to be embedded", "tag": "example", "metadata": { "source": "documentation" } }'Nyame provides a powerful yet simple API for creating, managing, and searching text embeddings with high-performance vector similarity search.
Everything you need to build intelligent, semantic search applications
Store and search embeddings with advanced vector operations optimized for performance.
Find similar content using natural language understanding with cosine similarity search.
Enhance vector search with tags and metadata to organize and filter your embeddings.
Configure similarity thresholds, result limits, and content inclusion for precise results.
Create multiple embeddings in a single request for efficient data processing at scale.
Token-based authentication and fine-grained permissions keep your data secure and isolated.
Unlock the potential of vector embeddings in your applications
Implement intelligent search that understands meaning beyond keywords. Find relevant documents based on semantic similarity rather than exact matches.
Create personalized recommendation systems for products, articles, or media based on semantic similarity and user preferences.
Power intelligent knowledge bases and support chatbots with semantic understanding to retrieve relevant information quickly.
Accelerate research by finding conceptually similar content across large document collections, research papers, and datasets.
Simple integration with comprehensive documentation
Your administrator provisions accounts for the Filament console
Create tokens with specific permissions for your needs
Use our simple REST API with your favorite language
Sign in to the Filament admin to create personal access tokens and start using the embeddings API.
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