voyage 4 nano Model Overview voyage 4 nano is a state of the art text embedding model from the Voyage 4 series, designed for high performance semantic search and retrieval tasks. This model features: Developed by : Voyage AI Supported Language(s) : Multilingual Context Length : 32000 Parameters : 180M [Non embedding] + 160M [Embedding] License : Apache 2.0 For detailed performance metrics and benchmarks, please refer to: 📝 Voyage 4 Release Blog Post 📊 Evaluation Spreadsheet Key Features Shared Embedding Space with voyage 4 series The shared embedding space introduced in the Voyage 4 model series eliminates the need to re index your data when switching between models in the series. Embeddings generated by different Voyage 4 models ( voyage 4 large , voyage 4 , voyage 4 lite , and voyage 4 nano ) can be directly compared and used interchangeably. For example, use voyage 4 large for high fidelity indexing, voyage 4 lite for high throughput queries, and voyage 4 nano for local development. Frontier Retrieval Quality at Low Cost Outperforms much larger existing embedding models, including voyage 3.5 lite . Matryoshka Representation Learning (MRL) voyage 4 nano is trained with Matryosh…
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