Superior, CO, United States of America

Spriha Awasthi

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Intuit, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Spriha Awasthi. Retrieved from https://idiyas.com/inventor/spriha-awasthi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Spriha Awasthi and Retrieval-Augmented Generation

Introduction

Spriha Awasthi is an inventor based in Superior, Colorado, and is associated with Intuit, Inc. His work includes a patent describing a method for improving language-model responses by retrieving relevant information from an embedding database.

Latest Patents

Awasthi is credited with 1 patent, titled “Retrieval Augmented Generation.” The patent describes storing data embeddings in a database and retrieving relevant embeddings when a related prompt is received. These embeddings are used to create an augmented prompt, which is then provided to a machine-learning model. By incorporating information from the database, the approach can help a model produce responses with greater breadth and depth, even if the model was not originally trained on that data.

Career Highlights

Awasthi’s patent work focuses on retrieval-augmented generation, a technique that connects language models with relevant external information at response time. The disclosed approach combines an initial prompt with retrieved data to guide the model’s response.

Collaborations

Jolene Huang and Yiran Huang are listed as Awasthi’s coworkers.

Conclusion

Spriha Awasthi’s patent presents an approach to enriching language-model responses by retrieving relevant information from an embedding database and incorporating it into prompts.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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