Architectural Deep-Dive: Retriever-Free Retrieval: Navigating Documents with Decision Models

Replacing Vector Databases with Decision-Based Tree Navigation in Production RAG For the past three years, the industry standard for Retrieval-Augmented Generation (RAG) has been virtually dogmatic: chunk documents, compute dense vector embeddings, build an HNSW index, perform cosine similarity retrieval, and optionally throw an expensive... Weiterlesen: Architectural Deep-Dive: Retriever-Free Retrieval: Navigating Documen…