Jina Embeddings v5 Text Nano Retrieval is an open-weight embedding model for converting text into vectors used in semantic search, retrieval, and similarity applications. It is distributed in formats including GGUF, ONNX, and Safetensors for local deployment with tools such as llama.cpp and sentence-transformers.
Jina Embeddings V5 Text Nano Retrieval sits in PulseGate's Embeddings & retrieval category. It focuses on generating compact semantic representations of text for search, retrieval, and similarity matching. Jina Embeddings V5 Text Nano Retrieval is an open-source project aimed at developers and machine learning engineers. The project is open source (BSD-3-Clause). Jina Embeddings V5 Text Nano Retrieval is available on the web, the command line, and API, and it can be self-hosted.
Behind Jina Embeddings V5 Text Nano Retrieval is Jina AI, and it first shipped in 2022. Development happens publicly on GitHub with 24.8k stars and 60 commits in the last 90 days. Key capabilities include text embeddings, semantic similarity, and vector retrieval.
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