Verified project record

Tencent/WeKnora

An open-source platform that uses LLMs to convert raw documents into a queryable retrieval-augmented generation system, an autonomous reasoning agent, and a self-maintaining Wiki. It supports a modular pipeline with swappable models and vector databases, requiring an external or local LLM provider to operate.

Project overview

Project type: AI Agent · RAG · Infrastructure
Use cases: Knowledge Q&A · Automation
Deployment: Refer to project documentation
License: License pending

Best for

Enterprise teams seeking to convert scattered documents into a queryable RAG system and a self-maintaining Wiki.
Users who prefer a modular pipeline allowing the swapping of LLMs, vector databases, and storage backends.

Key capabilities

Auto-generation of structured, interlinked markdown Wiki pages from raw documents with a visual knowledge graph.

Limitations and risks

Requires an external or local LLM provider to function.
Deploying services directly to public networks may cause information leakage.
GPU requirements and minimum hardware specifications are not documented.

Getting started

Clone the repository, configure the environment file, run the docker compose command, and access the Web UI. No coding is required for setup.

Evidence and sources

GitHub project description: Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
README: It is organized around three core capabilities: **RAG-based Quick Q&A** for everyday lookups, a **ReAct Agent** that autonomously orchestrates retrieval, MCP tools and web search…
README: - **v0.7.0** — Fine-grained **scoped API keys & principal model** (capability-level grants + per-KB restriction + API integration playground); **runtime task-queue observability d…
README: Intelligent Conversation | Capability | Details | |------------|---------| | Intelligent Reasoning | ReACT progressive multi-step reasoning, autonomously orchestrating knowledge r…
README: Please refer to the [MCP Configuration Guide](./mcp-server/MCP_CONFIG.md) for the necessary setup.

Reviewed at: 2026-07-17T12:31:35Z