Weaviate Researchers Introduce Function Calling for LLMs: Eliminating SQL Dependency to Improve Database Querying Accuracy and Efficiency

Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires SQL, which varies across systems and can be complex. While LLMs offer the potential for automating queries, most approaches rely on translating natural language to SQL, often leading to errors due to syntax differences. A […]

The post Weaviate Researchers Introduce Function Calling for LLMs: Eliminating SQL Dependency to Improve Database Querying Accuracy and Efficiency appeared first on MarkTechPost.

Fonte: https://www.marktechpost.com/2025/02/07/weaviate-researchers-introduce-function-calling-for-llms-eliminating-sql-dependency-to-improve-database-querying-accuracy-and-efficiency/

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