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    Jina Embeddings v4
    Featured

    Universal multimodal embedding model from Jina AI supporting text and images through unified pathway. Built on Qwen2.5-VL-3B-Instruct, outperforms proprietary models on visually rich document retrieval. This is a commercial API with free tier, though OSS weights available.

    Nomic Embed Text
    Featured

    First fully reproducible open-source text embedding model with 8,192 context length. v2 introduces Mixture-of-Experts architecture for multilingual embeddings. Outperforms OpenAI models on benchmarks. This is an OSS model under Apache 2.0 license.

    Cohere Embed v3

    Commercial text embedding model from Cohere with multilingual support and 1,024-dimensional vectors. Optimized for semantic search and retrieval tasks. This is a commercial API service with pay-per-use pricing.

    E5 Embeddings

    Open-source text embedding models from Microsoft supporting 100+ languages. Features small, base, and large variants with weakly-supervised contrastive pre-training. This is an OSS model family released by Microsoft Research.

    Voyage AI Embeddings

    Commercial embedding models built for enterprise-grade semantic search and RAG applications. Features voyage-3 and voyage-3-large models with multimodal support. This is a commercial API service with usage-based pricing.

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