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Patent drawing for Automatic database enrichment and curation using large language models
US 12,242,433 B2
Computing US 12,242,433 B2 Not in force

Automatic database enrichment and curation using large language models

This invention describes a system that uses advanced AI language models (LLMs) to automatically manage and improve databases. It can add new information, check existing data for accuracy, update records, fill in missing values, and even build parts of a database from scratch. The system works with many types of databases, including traditional, non-traditional, file-based, and specialized vector databases.

Why it matters: Since 2024, LLM costs have continued to decrease, and their reliability for structured data tasks has improved, making large-scale automated database curation more economically and practically viable.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedSoftware logic, LLM integration, database connectors

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