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.
Bge Base En V1.5 Onnx Q is an Embeddings & retrieval project. 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). It ships for the web, and it can be self-hosted.
It is developed by 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 4 catalogued features are Text Embeddings, Sentence Similarity, and ONNX Format.
Summary written by a language model from the project’s public pages.
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