https://github.com/lh0x00/lightweight-embeddings
LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.
https://github.com/lh0x00/lightweight-embeddings
autogen embeddings huggingface image-embeddings langchain llama-index multilingual rag reranking sentence-transformers text-embeddings vector
Last synced: 1 day ago
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LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.
- Host: GitHub
- URL: https://github.com/lh0x00/lightweight-embeddings
- Owner: lh0x00
- License: mit
- Created: 2025-01-02T05:35:23.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-02-02T08:26:13.000Z (4 months ago)
- Last Synced: 2025-04-28T15:45:56.177Z (about 2 months ago)
- Topics: autogen, embeddings, huggingface, image-embeddings, langchain, llama-index, multilingual, rag, reranking, sentence-transformers, text-embeddings, vector
- Language: Python
- Homepage: https://lamhieu-lightweight-embeddings.hf.space
- Size: 107 KB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
---
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
```bash
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.
```bash
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](http://localhost:7860/docs) for detailed, interactive documentation.
- Explore additional resources with [ReDoc](http://localhost:7860/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](https://lamhieu-lightweight-embeddings.hf.space/docs)
- **Hugging Face Space**: [Try the live demo](https://huggingface.co/spaces/lamhieu/lightweight-embeddings)
- **GitHub Repository**: [View source code](https://github.com/lh0x00/lightweight-embeddings)
## 💡 Why LightweightEmbeddings?
1. **Performance-Oriented**: Delivers rapid results without compromising on quality, ideal for real-world deployment.
2. **Highly Adaptable**: Works in diverse environments, from cloud clusters to local devices.
3. **Developer-Friendly**: Intuitive API design with robust documentation and an integrated playground for experimentation.
## 👥 Contributors
- **lamhieu / lh0x00** – Creator and Maintainer ([GitHub](https://github.com/lh0x00), [HuggingFace](https://huggingface.co/lamhieu))
Contributions are welcome! Check out the [contribution guidelines](https://github.com/lh0x00/lightweight-embeddings/blob/main/CONTRIBUTING.md).
## 📜 License
This project is licensed under the **MIT License**. See the [LICENSE](https://github.com/lh0x00/lightweight-embeddings/blob/main/LICENSE) file for details.