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 Embeddings & retrieval category. It focuses on generating high-quality multilingual text embeddings for retrieval-augmented generation and semantic search. It is built as an open-source project for developers. Multilingual E5 Large is open source under the Apache-2.0 license. Multilingual E5 Large is available on the web and API.
Behind Multilingual E5 Large is Qdrant, and it 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.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do