This task involved designing and implementing a full Retrieval-Augmented Generation (RAG) pipeline using ERP PDF documentation. It includes preprocessing documents, generating semantic embeddings using all-MiniLM-L6-v2, storing them in Qdrant, and enabling semantic search through a CLI. The system supports structured metadata, fast retrieval using cosine similarity, and is designed to scale into a full RAG-powered ERP assistant. Future enhancements include LLM-based synthesis and UI integration.