Wrapping up Workshop 1 in the @Decoding Data Science "AI Accelerator Bootcamp", we kicked off our project blueprint for the 'DDS HR Policy Chatbot' Agent.
Before building the RAG pipeline, we mapped out the core foundations:
The User & Problem: Solving employee friction in navigating dense HR handbooks and policy PDFs.
The Stack: OpenAI embeddings & LLMs, LlamaIndex, Pinecone, and a Gradio interface.
The Guardrail: Zero hallucinations. The bot must strictly answer from policy documents and clearly state when information isn't available.
Always great to revisit foundational product thinking and refine the architecture before opening the code editor. Ready for the build phase! 💻