Category product updates
 
                    
                
            
                Photo by Ilya Pavlov on Unsplash
  
    
    
            Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
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Category vector search
 
                    
                
            
                Photo by Christopher Burns on Unsplash
  
    
    
            Query Time Constrained Approximate Nearest Neighbor Search
This blog post describes Vespa's industry leading support for combining approximate nearest neighbor search, or vector search, with query constraints to solve real-world search and recommendation problems at scale.
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                Photo by Christopher Burns on Unsplash
  
    
    
             
                    
                
             
                
                
                 
                    
                
             
                
                
                 
                    
                
             
                    
                
             
                
                
                 
                
                
                 
                    
                
             
                    
                
             
                    
                
             
                    
                
             
                    
                
             
                
                
                
                 
                
                
                 
                    
                
             
                
                
                
                 
                
                
                 
                    
                
             
                
                
                
                 
                
                
                 
                    
                
             
                    
                
             
                
                
                
                 
                
                
                 
                    
                
             
                
                
                 
                
                
                
                 
                
                
                 
                    
                
             
                    
                
             
                
                
                 
                    
                
             
                    
                
             
                
                
                 
                    
                
             
                
                
                 
                    
                
             
                    
                
             
                    
                
             
                    
                
            