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TEXT EMBEDDINGS INFERENCE
Blazing-fast Hugging Face text embeddings server
Apache-2.0
ABOUT
Python embedding servers waste GPU cycles on framework overhead and struggle with dynamic batching at production QPS. Text Embeddings Inference serves Hugging Face embedding and rerank models from a Rust runtime with token streaming, CUDA and Metal backends, and an OpenAI-compatible API so RAG pipelines get low-latency vectors.
INSTALL
brew install text-embeddings-inferenceINTEGRATION GUIDE
1. Host BGE, E5, or GTE embedding models behind an OpenAI-compatible embeddings API
2. Serve cross-encoder rerankers next to a vector database for RAG quality boosts
3. Deploy embeddings air-gapped with Docker images when models cannot leave the network
4. Run sequence classification or SPLADE sparse retrieval without a Python serving stack
TAGS
embeddingsinferencehuggingfacerustrerankerragopen-source