VectifyAI Introduces PageIndex: A Document Indexing Solution for Vectorless, Inference-Based RAG
VectifyAI has launched PageIndex, a new document indexing tool designed for Retrieval-Augmented Generation (RAG) systems that operate without vectors and rely on inference. The project, published on GitHub Trending on February 27, 2026, aims to provide an alternative approach to document indexing for RAG applications. Further details and information are available on the VectifyAI website.
VectifyAI has officially unveiled PageIndex, a novel document indexing solution. This tool is specifically engineered to support Retrieval-Augmented Generation (RAG) frameworks that utilize a vectorless, inference-based methodology. The project was featured on GitHub Trending, with its publication date recorded as February 27, 2026. VectifyAI is the author of this initiative, and additional information regarding PageIndex can be found on their dedicated website, vectify.ai/pageindex. The introduction of PageIndex signifies an advancement in document indexing techniques, offering an alternative for developers and researchers working with RAG systems.