metadata

title: Lightweight Embeddings API
emoji: 👻 / 🧬
colorFrom: purple
colorTo: indigo
sdk: docker
app_file: app.py
pinned: false

🌍 LightweightEmbeddings: Multilingual, Fast, and Unlimited

LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.

✨ Key Features

Free and Unlimited: A completely free API service with no limits on usage, making it accessible for everyone.
Multilingual Support: Seamlessly process text in over 100+ languages for global applications.
Text and Image Embeddings: Generate high-quality embeddings from text or image-text pairs using state-of-the-art models.
Reranking Support: Includes powerful reranking capabilities for both text and image inputs.
Optimized for Speed: Built with lightweight transformer models and efficient backends for rapid inference, even on low-resource systems.
Flexible Model Support: Use a range of transformer models tailored to diverse use cases:
- Text models: snowflake-arctic-embed-l-v2.0, bge-m3, gte-multilingual-base, paraphrase-multilingual-MiniLM-L12-v2, paraphrase-multilingual-mpnet-base-v2, multilingual-e5-small, multilingual-e5-base, multilingual-e5-large.
- Image model: siglip-base-patch16-256-multilingual
Production-Ready: Easily deploy anywhere with Docker for hassle-free setup.
Interactive Playground: Test embeddings and reranking directly via a Gradio-powered interface alongside detailed REST API documentation.

🚀 Use Cases

Search and Ranking: Generate embeddings for advanced similarity-based ranking in search engines.
Recommendation Systems: Use embeddings for personalized recommendations based on user input or preferences.
Multimodal Applications: Combine text and image embeddings to power tasks like product catalog indexing, content moderation, or multimodal retrieval.
Language Understanding: Enable semantic text analysis, summarization, or classification in multiple languages.

🛠️ Getting Started

1. Clone the Repository

git clone https://github.com/lh0x00/lightweight-embeddings.git
cd lightweight-embeddings

2. Build and Run with Docker

Make sure Docker is installed and running on your machine.

docker build -t lightweight-embeddings .
docker run -p 7860:7860 lightweight-embeddings

The API will now be accessible at http://localhost:7860.

📖 API Overview

Endpoints

/v1/embeddings: Generate text or image embeddings using the model of your choice.
/v1/rank: Rank candidate inputs based on similarity to a query.

Interactive Docs

Visit the Swagger UI for detailed, interactive documentation.
Explore additional resources with ReDoc.

🔬 Playground

Embeddings Playground

Test text and image embedding generation in the browser with a user-friendly Gradio interface.
Simply visit http://localhost:7860 after starting the server to access the playground.

🌐 Resources

Documentation: Explore full documentation
Hugging Face Space: Try the live demo
GitHub Repository: View source code

💡 Why LightweightEmbeddings?

Performance-Oriented: Delivers rapid results without compromising on quality, ideal for real-world deployment.
Highly Adaptable: Works in diverse environments, from cloud clusters to local devices.
Developer-Friendly: Intuitive API design with robust documentation and an integrated playground for experimentation.

👥 Contributors

lamhieu / lh0x00 – Creator and Maintainer (GitHub, HuggingFace)

Contributions are welcome! Check out the contribution guidelines.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.