news11 months ago
Retrieval-Augmented Generation (RAG): 2025 Definitive Guide
chitika.com →•January 8, 2025
A comprehensive 2025 guide to Retrieval-Augmented Generation covering architectural patterns, implementation strategies, and best practices. The guide examines the evolution of RAG from simple document retrieval to sophisticated multi-stage pipelines with re-ranking, query expansion, and hybrid search.
Why it matters: As RAG becomes essential infrastructure for grounding LLMs in factual information, this definitive guide provides developers with a complete reference for implementation decisions.
ragguideretrieval
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