RAG AI: 'Do it yourself,' says NYC data scientist | Computer Weekly
Briefly

Alaa Moussawi, chief data scientist of New York City Council, advocated for organizations to adopt generative AI, particularly utilizing retrieval augmented generation (RAG) with open source tools like DeepSeek and Llama. Speaking at the Leap 2025 tech event in Saudi Arabia, he highlighted that implementing AI doesn't require significant investment, referring to the council's 2018 project which created a duplication-checker for legislation. This tool aims to uphold originality in legislative ideas, ensuring credits to the rightful lawmakers, thereby promoting a fact-based legislative process and smoother operations for council officials.
Moussawi emphasized that organizations should utilize generative AI with retrieval augmented generation (RAG) using open source tools, making AI accessible and cost-effective.
The first AI application was developed in 2018, enabling the council to improve the legislative process by ensuring originality in proposed laws.
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