Stop building RAG pipelines like it’s 2023
Last Updated on December 4, 2025 by Editorial Team
Author(s): AI Rabbit
Originally published on Towards AI.
Agentic Era
If your architecture still looks like “User Query Vector DB LLM,” you aren’t building an AI application; you’re building a hallucination engine. The “naive” RAG era where we just dumped PDFs into Pinecone and prayed for the best is officially over.
The article discusses the evolution of Retrieval-Augmented Generation (RAG) pipelines, emphasizing the transition from outdated linear architectures to more sophisticated, agentic systems that reason and self-correct. It highlights the importance of new methodologies, including the integration of long-term memory, hybrid retrieval architectures, and advanced production engineering strategies to enhance performance and reliability. The article concludes by asserting that RAG is emerging as a critical engineering discipline, incorporating a variety of advanced technologies and strategies to meet increasing quality standards.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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