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Vector databases (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
The challenge of optimizing existing databases for vector solutions
Existing databases have their own tech debt and architectural decisions that make it challenging to implement vector solutions from day one./nIncumbent vendors may take a significant amount of time to optimize their offerings to perform as well as purpose-built vendors./nPurpose-built offerings may have features that are not available in existing solutions./nYoung solutions like Me, G-vector and Elasticsearch's vector offering may still be lacking in capabilities compared to established databases.
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