Qdrant/multilingual-e5-large-onnx is an ONNX-optimized version of the E5 large embedding model supporting over 100 languages. It is intended for use in vector databases and RAG pipelines. The model produces dense embeddings suitable for semantic similarity, retrieval, and clustering tasks.
Multilingual E5 Large sits in PulseGate's Foundation models & chat category. It focuses on generating high-quality multilingual text embeddings for retrieval-augmented generation and semantic search. Multilingual E5 Large is an open-source project aimed at developers. The project is open source (Apache-2.0). Multilingual E5 Large is available on the web and API.
It is developed by Qdrant, and the product first shipped in 2023. The project is developed in the open on GitHub with 3.1k stars and 4 commits in the last 90 days. Among its 3 catalogued features are Text Embeddings, Multilingual Support, and Semantic Search.
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