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5min chapter
Vector databases (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
The Race to Vector Supremacy
The challenge with most of the vector indexes are that they're memory hungry. As data set can larger and larger and larger, this is called the trillion scale vector problem. HNSW index is known for its relatively good tradeoff between recall and latency fast but it is also memory hungry. Disk KNN seems to be the agreed upon standard across many vendors right now.
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