PageIndex Launches Vectorless RAG System Using Pure Reasoning, No Embeddings
PageIndex introduced a new retrieval-augmented generation (RAG) system that eliminates vector embeddings entirely, relying instead on reasoning-based document retrieval. The system processes queries through logical inference chains to locate relevant information without traditional semantic search. This challenges the dominant paradigm in RAG implementations where vector databases like Pinecone or Weaviate are considered essential infrastructure.