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3min chapter
Vector databases (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
The Evolution of Vector Databases
vector databases are a natural evolution of the NoSQL class of databases. The idea of full text search became very important because I think everyone wants to be able to retrieve information from massive blobs of data sitting around. And so you combine all those things together, similar to how TFIDF is in data science. There's an algorithm called the M25, which is the most popular inverted file index algorithm. It's the most commonly used one for full text search.
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