| CPC G06F 16/3326 (2019.01) [G06F 16/3329 (2019.01); G06F 16/3347 (2019.01); G06F 16/335 (2019.01); G06F 16/38 (2019.01)] | 16 Claims |
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1. A method for improving computer functionality by retrieving answers to questions from a cache, the method comprising:
using a hardware processor communicatively coupled to memory to perform accessing a question stored in primary storage communicatively coupled to a cache, in a text format;
accessing metadata associated with the question in the text format;
vectorizing the question in the text format into a high dimensional vector using a text embedding algorithm, wherein the high dimensional vector is greater than or equal to 1024 dimensions;
using the high dimensional vector to search a question portion of the cache using a plurality of retriever types to create a hybrid search, in which the hybrid search combines one or more text format queries using the metadata with one or more high dimensional vector queries in a single search request;
performing query filtering with the metadata associated with the question to provide a semantic layer set of semantic answers in a text format with metadata associated with an answer and semantic relevance values;
using the question in the text format to search an answer portion of the cache and performing query filtering with the metadata associated with the question to provide a lexical layer set of lexical answers in the text format with the metadata associated with the answer and lexical relevance values;
using the semantic layer set in order of the semantic relevance values from highest to lowest and the lexical layer set from highest to lowest; and
applying a reciprocal rank fusion algorithm to compute a combined ranking set for the semantic answers in the text format and the lexical answers in the text format to provide an identified answer.
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