AI BriefingWeKnora: Turn Documents into Living Knowledge: Combining RAG and Agents
Tencent/WeKnora
About the project
Transform scattered documents into queryable knowledge assets. Combine fast RAG-based retrieval with the autonomous reasoning of ReAct Agents to handle complex multi-step tasks.
Use Wiki Mode to refine original documents into an interconnected Markdown knowledge base. It supports manual editing, change history management, and rollback features, while maintaining user context through cross-session long-term memory.
Automatically sync data from various sources such as Feishu, Notion, and GitLab. Support over 10 formats including PDF, Word, and XMind, and integrate with more than 20 LLM providers such as OpenAI and DeepSeek.
Provide RBAC and audit logs optimized for enterprise environments. Ensure data sovereignty with a fully self-hosted architecture, and transparently track agent reasoning processes via Langfuse.
Tencent/WeKnora
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
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