HR Policy Slack Bot: S3 RAG with GPT-4o-mini

This n8n workflow deploys an HR Assistant chatbot on Slack that uses Retrieval-Augmented Generation (RAG) to provide accurate answers to employee questions about company policies. Documents stored in Amazon S3 are ingested via a manual trigger: files are downloaded, split into chunks, embedded using OpenAI, and stored in a vector database. The chatbot workflow listens for Slack messages, performs semantic search on the vector store for relevant context, and generates concise responses with GPT-4o-mini, falling back to a polite 'info not available' message if no match is found.

Benefits include reduced HR workload by automating policy queries, ensuring responses are grounded in official documents to minimize errors, and scalable knowledge base updates. It's ideal for mid-to-large teams needing reliable self-service access to HR info like vacation policies, benefits, or compliance rules.

Use cases: Employees ask 'How many vacation days?' or 'What's the remote work policy?' via Slack; the bot instantly replies with sourced info. Perfect for HR teams maintaining S3-based document repos, with easy expansion to other policy areas.