WeKnora
Turn scattered documents into a searchable, self-updating knowledge base
All Skills in This Repository (5)
Pure Emerald Level Indicatorspdf-processing
Extract text and tables, fill forms, and merge PDFs using Python scripts.
引用生成器
Generate standardized citations in APA, MLA, Chicago, and simplified formats.
weknora-shared
Operate a WeKnora RAG server through the weknora CLI with JSON envelopes and typed exit codes.
weknora-rag-search
Select and run the correct WeKnora CLI command for knowledge base retrieval and RAG queries.
文档协作
Guides collaborative document creation through context gathering, iterative drafting, and reader testing.
Frequently Asked Questions
FAQPage SchemaHow to install WeKnora?▼
Run `npx skills add Tencent/WeKnora --all -g -y` in your terminal to install all skills in this suite globally.
What is WeKnora used for?▼
WeKnora turns your documents into a searchable knowledge base that answers questions with cited sources. It supports RAG Q&A, reasoning agents, and an auto-generated wiki.
Which document formats does WeKnora support?▼
It handles over 10 formats including PDF, Word, Excel, images, EPUB, and MHTML, plus synced sources like Feishu, Notion, Yuque, and RSS.
Can I self-host WeKnora with my own LLM?▼
Yes. WeKnora is fully self-hostable via Docker and works with 20+ providers including OpenAI, DeepSeek, Qwen, Gemini, and local models through Ollama.
Does WeKnora work with AI agents like Claude Code?▼
Yes. Its CLI and MCP server are designed agent-first, with structured JSON output and typed error codes that agents can parse reliably.
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