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    Retrievers

    Built and maintained by Mixpeek engineering, these specialized stages (coupled with extractors) find and retrieve the most relevant content from your use cases.

    Learn more in docs

    KNN Search

    K-Nearest Neighbor search for finding similar vectors based on distance metrics

    Vector Search
    450K runs

    Hybrid KNN Search

    Combines vector similarity with keyword matching for improved retrieval accuracy

    Vector Search
    325K runs

    Face Search

    Specialized retrieval for finding similar faces across image and video content

    Specialized Search
    275K runs

    Text Generation

    Generate text using a variety of large language models (LLMs) for tasks like summarization, Q&A, and creative writing.

    Generation
    275K runs

    What are Mixpeek Retrievers?

    Mixpeek Retrievers are specialized query engines that work with your indexed data to find the most relevant information. They power your multimodal search applications by efficiently sifting through features and documents.

    Powerful Querying

    Execute complex searches across various modalities and features to pinpoint exact information.

    Customizable & Flexible

    Configure retrievers with specific parameters and logic to match your unique use-case requirements.

    Fast & Efficient

    Designed for speed, retrievers deliver results quickly, even with large-scale datasets.