IngestAI/veml
Vector Embedding Markup Language - markup language designed specifically for annotating and structuring data related to vector embeddings.
This project helps developers standardize how they represent, exchange, and store vector embeddings. It takes raw text or HTML content, processes it into embeddable chunks, and pairs these with their corresponding vector embeddings and metadata. It's designed for machine learning engineers, data scientists, and AI developers who work with vector search, recommendation systems, or other embedding-based applications.
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Use this if you need a consistent, human- and machine-readable format to manage and share vector embeddings and their associated data across different systems or applications.
Not ideal if you are an end-user simply looking to perform a vector search, as this tool is for structuring the underlying data, not directly querying it.
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Last pushed
Apr 09, 2024
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