# Qanything

QAnything is a local knowledge-base Q&A system from NetEase Youdao, mainly for individuals and enterprises that handle internal docs, material libraries, and multi-format files. Import local files into a knowledge base, then ask in natural language to extract info, summarize, and trace answer sources. It supports PDF, Word, PPT, Excel, Markdown, TXT, email, images, CSV, and web links, with document parsing, semantic chunking, and retrieval Q&A. Depending on deployment, QAnything can run locally or in private environments—suited to scenes that need data security, offline use, and knowledge-base management. Core features — multi-format parsing: import PDF, Word, PPT, Excel, images, web pages, and more; extract text, tables, and image content to cut manual sorting. Local knowledge-base building: manage files by knowledge base; chunk and index into a searchable structure for ongoing Q&A. Semantic and hybrid retrieval: recall related content from the knowledge base for a question, then generate a natural-language answer—good for info scattered across many docs. Answer citations and content display: answers can attach source locations and support images and tables so users verify originals and read further. Who it is for: teams that need to query company policies, product materials, and internal docs.

QAnything is a local knowledge-base Q&A system from NetEase Youdao, mainly for individuals and enterprises that handle internal docs, material libraries, and multi-format files. Import local files into a knowledge base, then ask in natural language to extract info, summarize, and trace answer sources. It supports PDF, Word, PPT, Excel, Markdown, TXT, email, images, CSV, and web links, with document parsing, semantic chunking, and retrieval Q&A. Depending on deployment, QAnything can run locally or in private environments—suited to scenes that need data security, offline use, and knowledge-base management. Core features — multi-format parsing: import PDF, Word, PPT, Excel, images, web pages, and more; extract text, tables, and image content to cut manual sorting. Local knowledge-base building: manage files by knowledge base; chunk and index into a searchable structure for ongoing Q&A. Semantic and hybrid retrieval: recall related content from the knowledge base for a question, then generate a natural-language answer—good for info scattered across many docs. Answer citations and content display: answers can attach source locations and support images and tables so users verify originals and read further. Who it is for: teams that need to query company policies, product materials, and internal docs.

Canonical: https://uniquebase.ai/products/qanything
Stable identifier: UB-D6833
Snapshot captured: 2026-10-28T00:47:51.550Z
English updated: 2026-10-28T00:56:09.989Z

## Connected profiles

- [Qanything](/companies/qanything)

## Sources

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