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Superlinked

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About

Superlinked is a compute framework designed to enhance information retrieval and feature engineering systems by converting complex data into vector embeddings. With a focus on scalability, it aims to facilitate the integration of vectors into enterprise data and compute infrastructures. This tool supports multi-modal vectors, enabling the combination of text, images, and metadata, while allowing efficient management of compute layers with a simple Python SDK. Its applications range from semantic search and recommendations to analytics, making it a versatile solution for enterprises looking to harness the power of vectors in their operations.

Platform

Keywords

information retrieval analytics semantic search feature engineering vector computation

Task

information retrieval

Features

• real-time personalization

• infrastructure as code

• multi-modal vectors

• behavioral clustering

• multi-objective queries

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