Qdrant/bge-base-en-v1.5-onnx-Q is a quantized ONNX export of the BAAI BGE base English embedding model. It is optimized for fast text embedding generation and semantic similarity search. The model integrates easily with FastEmbed and other vector databases for retrieval-augmented generation and search applications.
In the Foundation models & chat space, Bge Base En V1.5 Onnx Q takes a focused approach. Efficiently generating high-quality English text embeddings for semantic search and similarity using optimized ONNX runtime. Bge Base En V1.5 Onnx Q is an open-source project aimed at developers. The project is open source (Apache-2.0). The product ships for the web, and it can be self-hosted.
Qdrant builds and maintains Bge Base En V1.5 Onnx Q, 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 Text Embeddings, Sentence Similarity, and ONNX Format.
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