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Introduction to Embeddings & Vector Stores - Medium

Discover the power of embeddings in machine learning for processing diverse data types. Learn about embedding techniques, vector databases, vector search, and real-world applications.

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What are Vector Embeddings? - GeeksforGeeks

Vector embedding are digital fingerprints or numerical representations of words or other pieces of data. Each object is transformed into a list of numbers called a vector. These vectors captures properties of the object in a more manageable and understandable form for machine learning models.

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What is vector embedding? - IBM

What is vector embedding? Vector embeddings are numerical representations of data points that express different types of data, including nonmathematical data such as words or images, as an array of numbers that machine learning (ML) models can process.

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What are Vector Embeddings - Pinecone

We create vector embeddings, which are just lists of numbers, for data like this to perform various operations with them. A whole paragraph of text or any other object can be reduced to a vector.