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Is RAG Obsolete? Designing Knowledge Bases in the Long-Context Era
April 24, 2026AI Trends

Is RAG Obsolete? Designing Knowledge Bases in the Long-Context Era

With 1M-token long-context models on the rise, some say RAG is no longer needed. We examine the claim from five angles -- cost, capacity, permissions, accuracy, and updates -- and show the current best answer for enterprise knowledge bases.

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Knowledge Base7AI Adoption6Comparison5RAG5Knowledge Silos4Internal Knowledge3Internal Documents3AI Chatbot3AI Search3Full-Text Search2Knowledge Management2Tool Selection2FAQ2Dify2AI Automation2Claude2Customer Support2Chat Widget2Industry-Specific2Operational Efficiency2LINE Integration2Frontline Staff2Semantic Search2Generative AI1Internal Document Search1Internal Search1AI Agents1LLM1Enterprise AI1Cloud1Small and Midsize Business1Adoption Guide1Internal Wiki1Keyword Search1Knowledge Utilization1WordPress1Plugin1Release1Slack Integration1Long-Context LLM1AI Selection1Skill Mode1Hallucination1HR1Labor Relations1Employee Handbook1HR Chatbot1Long Context1AI Design1MCP1Gemini1Codex1API Integration1Post-deployment1Operations1Adoption1PDCA1Business Case1IT Management1SaaS Selection1Security1Procurement1Professional Services1Law Firms1Tax Accountants1Internal Manuals1Employee Onboarding1New Hire Training1OJT1Restaurants1Food Safety1DX1Tacit Knowledge1Knowledge Transfer1Turnover Risk1Pricing1Unlimited Users1SaaS1Company-Wide Rollout1Cost1Website1Automation1Industry Use Cases1Mobile1AI Tools1ChatGPT1NotebookLM1Notion AI1Internal FAQ1Knowledge Sharing1