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Tools that map natural language queries to structured database commands using schema-aware guidance.
Distinguishing note: Focuses on the translation layer between natural language and SQL, distinct from general database ORMs.
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This repository serves as a comprehensive library of architectural blueprints and code examples for integrating large language models into software applications. It functions as a developer learning resource, providing structured tutorials and implementation patterns that demonstrate how to build intelligent features using advanced prompting and data processing techniques. The collection distinguishes itself by focusing on complex reasoning and data-grounding workflows. It provides practical guidance on implementing retrieval-augmented generation pipelines, which connect language models to pr
Maps natural language queries to structured database commands by providing the model with specific table definitions and constraints.