20.6.2024

Continuous improvement for knowledge base embeddings

A new embedding model for knowledge bases is now available, offering the following advantages:

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Improved accuracy

The new model understands text even more precisely. This means our applications and services deliver even better results.

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Higher speed and efficiency

Despite the model's larger and more complex structure, processing speed has been increased, allowing you to access relevant information faster.

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Increased flexibility

The new model can capture and interpret a wider range of texts and phrasing, making the technology more versatile and powerful.
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What does this mean for you?

For you as a user, this update primarily means one thing: significantly improved performance. Whether you are searching for information, analyzing text, or simply using our products, you will find that everything runs even more smoothly and accurately.
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What are embeddings?

Simply put, embeddings are an advanced method of giving text a kind of digital meaning. They help computers better understand and process the content and context of text. Imagine having a massive dictionary; embeddings help filter out the core meaning and the relationships between words.

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