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Automated processes for identifying entities and relationships to build structured knowledge representations.
Distinguishing note: Focuses on the extraction pipeline from unstructured text.
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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
Parses unstructured text into structured nodes and relationships to build interconnected data representations.