Large language models (LLMs) and retrieval-augmented generation (RAG) techniques have greatly improved our ability to synthesize and extract information. We’re seeing emerging tools taking advantage of this, and QAnything is one of them. QAnything is a knowledge management engine with a question-and-answer interface that can summarize and extract information from a wide range of file formats, including PDF, DOCX, PPTX, XLSX and MD files, among others. For data security concerns, QAnything also supports offline installation. Some of our teams use QAnything to build their team knowledge base. In GenAI scenarios with more industry depth (such as generating abstracts for investment reports), we also try to use this tool for proofs of concept before building real products and showing the potential of LLMs and RAG.
