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Allan Zhengleft a comment
Over the past semester, my team and I have been building Neo4j and knowledge graphs into CareerGPT, and it’s made me even more convinced that graph databases are underused in the agentic AI conversation. One reason is reliability. A lot of modern AI stacks rely on traditional RAG, which is largely based on fuzzy semantic matching. That can work well for discovery, but it often struggles when...
CareerGPTCareer graphs + AI agents to find your next move
CareerGPT is different because it starts with what most tools ignore—trend signals. See which roles are rising, cooling, or evolving in the AI era. Career graphs show where those paths lead, AI agents turn insights into action plans, and networking + mentorship connect you with people who can actually help.
CareerGPTCareer graphs + AI agents to find your next move