Intuit, Inc.

Jonathan Rabin

Guy Shtar

Itsik Yizhak Mantin

Idan Habler

At least one processor may receive at least one document and generate at least one respective summary of each respective at least one document, the generating comprising omitting information originally included in the at least one document that is irrelevant to a computing task. The at least one processor may generate at least one respective embedding of each at least one respective summary and a retrieval augmented generation (RAG) database comprising the at least one respective embedding. The RAG database may be deployed so that the RAG database is configured to provide RAG data to a large language model (LLM) responsive to prompts generated through the computing task.

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Tel Aviv, Israel

Jonathan Rabin