Vector databases leverage graph embeddings created through machine learning algorithms to compress data attributes, making them suitable for fuzzy match problems.
Support for LLMs in vector databases is anticipated to greatly impact IT budgets this year, as highlighted by William McKnight during his consulting group's presentation.
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