The Self-hosted GenAI Starter Kit for the public sector leverages Retrieval-Augmented Generation (RAG), a machine learning technique that combines pretrained large language models (LLMs) with real-time document retrieval. This approach enables public agencies to implement AI solutions quickly and cost-effectively, without building models from scratch or needing highly specialized teams. RAG enhances AI capabilities by using existing data to deliver accurate, context-aware responses, making AI adoption accessible for agencies of all sizes while driving tangible value with minimal deployment and maintenance effort.

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