According to God of Prompt (@godofprompt), Graph RAG leverages knowledge graphs to understand complex enterprise relationships, such as how 'Enterprise Customer' relates to 'Contract Terms,' 'Refund Policy,' and 'Finance Team Approvals.' This approach enables AI systems to traverse interconnected data points, building rich contextual understanding instead of relying solely on keyword matching. For businesses, this means more accurate document automation, streamlined contract analysis, and improved customer support workflows, creating significant opportunities for enterprise AI adoption and operational efficiency (source: @godofprompt, Jan 9, 2026).

According to Greg Brockman (@gdb), GPT-5.2 introduces enhanced capabilities for handling long context, allowing businesses and developers to process and analyze significantly larger documents and datasets with greater accuracy and efficiency (source: https://twitter.com/gdb/status/2000772189365182887). This advancement enables practical applications in legal, research, and enterprise automation, unlocking new opportunities for AI-driven content summarization, contract analysis, and knowledge extraction where extended context windows are essential.