Even with most approximate nearest neighbor (ANN) techniques, there’s no easy way to design a vector-based search algorithm that’s practical for most production applications. For example: Insert, update, and delete functions can challenge graph based structures like HNSW, which make deletion very...
Everyone who trains this kind of algorithm will have a different opinion, and it will change over time with new products. What if the TV doesn’t have a screen, such as projection TVs? How would you label it? Unsupervised learning is designed to partially remove the human bias of supervise...
First, it’s important to consider that “search” is more than search- that is to say, “search” is more than simply typing keywords into a search bar on search engines or a website. While that is one aspect most easily identified, “search” also encompasses much more. Consider a ...
The introduction of a newBM25based ranking algorithm, that in our tests increased Normalized Discounted Cumulative Gain (NDCG) by about 5 points! This generates more intuitive results that align with user expectations. You can test this algorithmtoday. Mechanisms to provi...
thedefault similarity scoring algorithm( BM25) . Using those results as the document corpus, semantic ranking re-scores those results based on the semantic strength of the match.. Scores are calculated based on the degree of linguistic similarity between query terms and matching terms in the index...
Document boosting is a common scoring profile, and it now works as expected on vector and hybrid queries.Third, you can set MaxTextRecallSize and countAndFacetMode in hybrid queries to control the quantity of BM25-ranked search results that flow into the hybrid ranking model. Fourth, for ...
The previous restriction on customer-managed keys (CMK) is now lifted. Prefiltering and exhaustive K-nearest neighbor algorithm are also now generally available. November Feature Semantic ranker, generally available November Feature Integrated vectorization (preview) adds data chunking and text-to-vector...
The previous restriction on customer-managed keys (CMK) is now lifted. Prefiltering and exhaustive K-nearest neighbor algorithm are also now generally available. November Feature Semantic ranker, generally available November Feature Integrated vectorization (preview) adds data chunking and text-to-vector...
Third, you can setMaxTextRecallSizeandcountAndFacetModein hybrid queries to control the quantity of BM25-ranked search results that flow into the hybrid ranking model. Fourth, for vector and hybrid search, you can weight a vector query to have boost or diminish its importance in a multiquery...
It is common practice to mix several components to produce a ‘composite’ index to achieve optimal performance for a given use case. Even with most approximate nearest neighbor (ANN) techniques, there’s no easy way to design a vector-based search algorithm that’s practical for most ...