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Knowledge Graph Retrieval for Language Models: Build context-aware pipelines using entity relationships, connected data, and based reasoning
Paperback
Series: LLM Applications and Retrieval Systems, Book 2
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Publisher: Independently Published
Pages: 220
Weight: 0.86
Height: 0.46 Width: 7.00 Depth: 10.00
Language: English
The focus remains on practical system design, with attention given to how graph-based retrieval fits into a complete application. It explores how data is organized, how queries interact with the graph, and how retrieved context is assembled before being passed into a language model. Through this approach, the book provides a clear path for building retrieval systems that are more aligned with the structure of real-world information.
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