markrmiller commented on issue #11507:
URL: https://github.com/apache/lucene/issues/11507#issuecomment-1551779674

   While this is not a critique on Lucene's attempt to utilize SIMD via 
OpenJDK, or any proposed ideas here, it's challenging to envision Lucene 
emerging as the leading solution for large-scale vector similarity search. This 
doesn't necessarily imply whether Lucene should or should not integrate such a 
feature. However, if one were to suggest that this is a critical issue for 
Lucene's survival, I would question the likelihood of a Java-based engine, 
laden with keyword search complexities, rising to the top as a vector search 
solution, regardless of SIMD integration. I would hesitate to wager on its 
ability to compete with systems exclusively focused on vector similarity 
search, equipped with first-rate GPU support, and designed to work with 
existing and future AI-oriented hardware. None of these systems would be 
developed in Java, nor would they compete with Lucene in the realm of 
traditional search.
   
   Though it might be beneficial and convenient for Lucene to accommodate this 
feature, unless the project undergoes a complete overhaul, its survival will 
likely hinge on the success or failure of its keyword search and faceting 
capabilities, along with other related features. It appears to be a significant 
jump to discard all these features into the 'COBOL pile' due to the integration 
of embeddings. A more plausible scenario is that they will coexist 
harmoniously, complementing each other's strengths.
   
   Nice little rewrite ChatGPT did there.  


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