DownloadInfinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. Infinity is developed under MIT License. Infinity powers inference behind Gradient.ai and other Embedding API providers.
Features
- Deploy any model from MTEB: deploy the model you know from SentenceTransformers
- Fast inference backends: The inference server is built on top of torch, optimum(onnx/tensorrt) and CTranslate2, using FlashAttention to get the most out of CUDA, ROCM, CPU or MPS device
- Dynamic batching: New embedding requests are queued while GPU is busy with the previous ones. New requests are squeezed intro your device as soon as ready. Similar max throughput on GPU as text-embeddings-inference
- Correct and tested implementation: Unit and end-to-end tested. Embeddings via infinity are identical to SentenceTransformers (up to numerical precision). Lets API users create embeddings till infinity and beyond
- Documentation available
- Easy to use: The API is built on top of FastAPI, Swagger makes it fully documented. API are aligned to OpenAI's Embedding specs. See below on how to get started
Project Samples
Categories
Large Language Models (LLM)License
MIT LicenseFollow Infinity
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