I’m getting Connection errors when I use Anthropic chat models with data in a qdrant vector store
Problem in node ‘ResearchSpecialist‘
Connection error.
Output from the vector store
{“pageContent”:"5. Challenges and open problems Although several studies have acknowledged the challenges faced in adopting agentic AI systems, few studies clearly articu- late unresolved questions [8], [9], [11], [13], [14], [89]. This gap motivated us to create a structured literature review to bring together principles, methodologies, and challenges related to agentic AI in one place and make agentic AI more approachable for rigorous study and real-world application. III. FOUNDATIONS OF AGENTIC AI Agentic AI systems are built on core capabilities like autonomy, adaptability, and goal-orient…
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{“pageContent”:“27 AI: THE PRESENT AND\n\nFUTURE\n\nIn which we take stock of where we are and where we are going, this being a good thing to do before continuing.\n\nIn Chapter 2, we suggested that it would be helpful to view the AI task as that of designing rational agents—that is, agents whose actions maximize their expected utility given their percept histories. We showed that the design problem depends on the percepts and actions available to the agent, the utility function that the agent’s behavior should satisfy, and the nature of the environment. A variety of different agent designs ar…
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{“pageContent”:”[10] J. Schneider, ‘‘Generative to agentic AI: Survey, conceptualization, and\n\nVIII. CONCLUSION The evolution of artificial intelligence has followed a remarkable trajectory: first came predictive AI, analysing patterns to forecast outcomes. Next emerged generative AI, creating original text, images, and code. Today, we stand at the dawn of agentic AI—a paradigm where systems do not merely predict or generate but act with con- versational fluency and autonomous agency. These sys- tems perceive environments, make context-aware decisions, and adapt through experience, redefinin…
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{“pageContent”:"VOLUME 13, 2025\n\n18913\n\nD. B. Acharya et al.: Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey\n\nSection X Describes gaps in knowledge and prospected Research and Development work alongside the consid- eration of refreshing Agentic AI ideas.\n\nSection XI recommends the paper’s final remarks, including a conclusion of the findings and a remark that cross-disciplinary connections are needed to move the field forward in a responsible manner.\n\nThis comprehensive survey will provide valuable insights into Agentic AI’s current state, future potenti…
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{“pageContent”:"Alexandria, VA: Human Resources Research Organization, 2010.\n\nLei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al. A survey on large language model based autonomous agents. Frontiers of Computer Science, 18(6):186345, 2024a.\n\nXingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Ha…
Information on your n8n setup
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n8n version
1.123.5 (Self Hosted) -
Database (default: SQLite):
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n8n EXECUTIONS_PROCESS setting (default: own, main):
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Running n8n via Docker
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Operating system: