This workflow creates an AI-powered employee inquiries chatbot focused on HR benefits, company policies, and employee contact retrieval. It integrates BambooHR to gather employee data and company files, uses OpenAI models for natural language understanding, and employs vector stores for document search. The process begins when an employee initiates a conversation via a webhook, allowing the AI to classify the query, retrieve relevant company documents, or look up employee details. The system leverages multiple language models for intelligent responses, assisting employees in finding HR contacts, policy information, or departmental specifics. Practical use cases include automating HR support, providing instant access to policy documents, and simplifying employee queries in large organizations, enhancing internal communications and operational efficiency.
AI-Powered Employee Policies & HR Chatbot Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, aggregate, bambooHr, executeWorkflowTrigger, filter, manualTrigger, set, splitOut, stickyNote |
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