Patent ID: 11971914
Assignee: CURE A1, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. An artificial intelligence-based search method for searching content of a big data source storing text and image-based technical articles, comprising:
a processor generating a searchable vector database comprising vector representations and paired corresponding unique identification numbers of data objects in the big data source; and
executing a search of the big data source for data objects directed to specific technical subjects, comprising:
receiving an original user query related to the big data source,
generating a refined query from the original user query, comprising:
applying a system query refiner to the user query; and
applying a user query refiner to the user query; wherein the processor applies the original query, the system query refiner, and the user query refiner to a large language model to generate the refined query, wherein the system query refiner comprises a set of system instructions directing the large language model to generate an improved detailed system prompt and the user query refiner comprises a set of user instructions directing the large language model to generate a refined, detailed user prompt;

generating an embedding of the original query,
applying the embedding to the vector database,
determining a similarity between the embedding and the vector representations,
returning a top number K of the vector representations having a highest similarity to the embedding, the vector representations and corresponding paired unique identification numbers providing an index to the big data source, and
generating a query response based on the returned vector representations and the corresponding paired unique identification numbers comprising the processor instructing the large language model to apply the original query, the improved, detailed system prompt, and the refined, detailed user prompt to the big data source.