VectifyAI Launches PageIndex: A Document Indexing Solution for Vectorless, Inference-Based RAG
VectifyAI has introduced PageIndex, a new document indexing tool designed for vectorless, inference-based Retrieval-Augmented Generation (RAG). The project, available on GitHub Trending, aims to provide a solution for efficient document organization and retrieval without relying on traditional vector embeddings. Further details and a visual representation are available on the VectifyAI website.
VectifyAI has officially launched PageIndex, a novel document indexing solution. This tool is specifically engineered to facilitate vectorless, inference-based Retrieval-Augmented Generation (RAG). The project has gained attention, appearing on GitHub Trending, indicating its relevance and potential interest within the developer community. PageIndex offers an approach to organizing and retrieving information from documents that diverges from conventional vector-based methods. For more comprehensive information and a visual overview, interested parties can visit the dedicated PageIndex page on the VectifyAI website.