Weaviate is a cloud-native, modular, real-time vector search engine built to scale your machine learning models.

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Weaviate is a cloud-native, modular, real-time vector search engine built to scale your machine learning models.
editor_iot
28/01/2021 – 08:26

Weaviate is a cloud-native, modular, real-time vector search engine built to scale your machine learning models.
    •    Highly efficient large scale vector searches
    •    State of the Art classification techniques
    •    Easily retrieve your data in graph format using GraphQL
You can extend Weaviate with:
        An out-of-the box vectorization module which creates vectors from your data on import.
        Your existing machine-learning models, import your vectors directly
You can use multiple vectorization modules in one Weaviate instance. For example, if you want to vectorize a text object with an NLP module and an image with an image vectorization module.
 Why a vector search engine?
If you work with data, you probably work with search engine technology. The best search engines are amazing pieces of software, but because of their core architecture, they come with limitations when it comes to finding the data you are looking for.

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