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    Streaming Vector Indexing

    Real-time indexing of vectors as they arrive in a stream, enabling immediate searchability without batch processing delays. Critical for applications requiring up-to-the-second freshness like social media, news, or real-time recommendations.

    Pathway

    Python ETL framework for stream processing and real-time analytics with built-in vector search capabilities. Features real-time document synchronization, in-memory vector index, and adaptive RAG technology for always-current AI applications.

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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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