Automationcalling

Problem Statement Retrieval-Augmented Generation (RAG) has become a foundational pattern for building AI systems over enterprise data. Most implementations rely on vector-based retrieval: Documents → Parsing → Chunking → Embeddings → Vector Store → Semantic Retrieval This approach delivers strong results for: However, as usage matures, a critical limitation emerges. While vector search is effective…