Last updated on December 4, 2025 by Editorial Team
Author(s): hey rabbit
Originally published on Towards AI.
agent era
If your architecture still looks like “user query vector DB LLM”, you are not building an AI application; You are building a hallucination engine. The “naive” RAG era where we threw PDFs into the pinecone and prayed for the best is officially over.
The article discusses the development of Retrieval-Augmented Generation (RAG) pipelines, with an emphasis on the transition from older linear architectures to more sophisticated, agentic systems that are causal and self-correcting. This highlights the importance of new approaches, including the integration of long-term memory, hybrid retrieval architectures, and advanced production engineering strategies to enhance performance and reliability. The article concludes by emphasizing that RAG is emerging as an important engineering discipline, encompassing a variety of advanced technologies and strategies to meet increasing quality standards.
Read the entire blog for free on Medium.
Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
