This is an ONNX-quantized version of the paraphrase-multilingual-MiniLM-L12-v2 model, optimized by Qdrant for fast inference. It generates high-quality sentence embeddings for 50+ languages and is primarily used for semantic similarity, retrieval-augmented generation, and vector search applications.
Paraphrase Multilingual MiniLM L12 V2 Onnx Q is a Foundation models & chat product. It focuses on enabling fast, multilingual semantic search and retrieval in vector databases with a lightweight embedding model. Paraphrase Multilingual MiniLM L12 V2 Onnx Q is an open-source project aimed at developers building RAG and semantic search systems. The project is open source (Apache-2.0). Paraphrase Multilingual MiniLM L12 V2 Onnx Q is available on the web and API.
Behind Paraphrase Multilingual MiniLM L12 V2 Onnx Q is 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 4 catalogued features are multilingual, sentence similarity, and ONNX format.
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