TikTok Ban, Data Centers in Space… and What's a Vector? | E2073

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Jan 17, 2025

Guest

Philip Johnston

Guest

Bob van Luijt

Join Bob van Luijt, CEO of Weaviate, a leader in vector databases for AI, and Philip Johnston, CEO of Lumen Orbit, innovating with space-based data centers. They dive into the transformative role of vector databases in enhancing AI applications and discuss the emerging concept of data centers leveraging solar energy in space. Bob shares insights on the intricate use of vector embeddings for AI, while Philip outlines the technical challenges and economic benefits of building in orbit, including potential solutions to heat and debris issues!

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INSIGHT

Vectors and Embeddings

Vectors are numerical representations of data providing magnitude and direction, useful for understanding relationships between data points.
Vector embeddings assign these vectors to words or sentences, organizing unstructured data in a spatial context.

INSIGHT

Vector Embeddings and Semantic Similarity

Researchers developed vector embeddings to represent relationships between data points, like words in sentences or pixel colors in images.
This allows machine learning models to understand semantic similarity and context.

INSIGHT

Vector Indexing and Machine Learning

Vector indexing uses machine learning to efficiently assign vector embeddings to data points in a large dataset, unlike brute-force calculation.
This breakthrough allows for practical use of vector embeddings in real-world applications.

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