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    Embedding Models

    Models for generating vector embeddings

    10 tools listed

    Back to Directory

    Subcategories:

    Open Source Embeddings (4)Text Embeddings (2)Domain Embeddings (1)Multimodal Embeddings (1)Vision-Language Embeddings (1)Embedding Framework (1)

    Showing 10 of 10 tools

    Cohere logo

    Cohere

    Text Embeddings

    Enterprise AI platform providing powerful embedding, generation, and reranking models designed for search, classification, and RAG applications.

    freemium
    text

    Key features:

    Embed v3Rerank modelsGenerate models+2 more
    Voyage AI logo

    Voyage AI

    Domain Embeddings

    Embedding model provider specializing in domain-specific embeddings for code, legal, finance, and multilingual content with best-in-class retrieval quality.

    freemium
    text

    Key features:

    Code embeddingsLegal embeddingsFinance embeddings+2 more
    Jina AI logo

    Jina AI

    Multimodal Embeddings

    Multimodal AI company providing embedding models, rerankers, and search infrastructure for building neural search applications.

    freemium
    open source
    text
    image

    Key features:

    Multimodal embeddingsReranker modelsReader API+2 more
    Nomic AI logo

    Nomic AI

    Open Source Embeddings

    Open-source AI company providing embedding models, data visualization tools, and Atlas for exploring and understanding large datasets.

    freemium
    open source
    text
    image

    Key features:

    Nomic EmbedAtlas data mapsGPT4All+2 more
    OpenCLIP logo

    OpenCLIP

    Vision-Language Embeddings

    Open-source implementation of CLIP by LAION, providing multimodal vision-language embeddings for image and text understanding.

    open-source
    open source
    image
    text

    Key features:

    Vision-language embeddingsMultiple model sizesPre-trained weights+2 more
    Mixedbread AI logo

    Mixedbread AI

    Text Embeddings

    Embedding model provider offering state-of-the-art text embedding models optimized for retrieval, with support for binary and scalar quantization.

    freemium
    open source
    text

    Key features:

    Text embeddingsBinary quantizationMatryoshka embeddings+2 more
    BAAI BGE logo

    BAAI BGE

    Open Source Embeddings

    Open-source embedding model family by the Beijing Academy of AI, consistently ranking among the top retrieval models on the MTEB benchmark.

    open-source
    open source
    text

    Key features:

    Text embeddingsRerankingMulti-language+2 more
    Sentence Transformers logo

    Sentence Transformers

    Embedding Framework

    Python framework for computing dense vector representations of sentences and paragraphs using transformer models, widely used for semantic similarity.

    open-source
    open source
    text
    image

    Key features:

    Pre-trained modelsFine-tuningSemantic search+2 more
    Instructor logo

    Instructor

    Open Source Embeddings

    Instruction-finetuned text embedding model that generates task-specific embeddings by following natural language instructions for diverse retrieval tasks.

    open-source
    open source
    text

    Key features:

    Instruction-tunedTask-specific embeddingsMultiple model sizes+2 more
    E5 logo

    E5

    Open Source Embeddings

    Text embedding model family by Microsoft Research using weakly-supervised contrastive pre-training, achieving strong zero-shot retrieval performance.

    open-source
    open source
    text

    Key features:

    Zero-shot retrievalMultilingual supportMultiple sizes+2 more

    Need a Multimodal Solution?

    Mixpeek processes video, image, audio, and text through unified pipelines. See how it compares to the tools listed in this directory.