GH Repository · 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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nodeagent-appdsh-pluginsemantic-searchvector-searchrerankingagentagenticaiwikillmevaluationchatbotgolangollamaGoembeddingsgoraggenerative-aimakedockerknowledge-basemulti-tenant
WeKnora is Tencent's open-source LLM knowledge platform that ingests raw documents and turns them into three outputs: a queryable RAG system, an autonomous reasoning agent, and a self-maintaining Wiki. It is written in Go, ships with a Docker/Make/Node toolchain, and covers embeddings, vector search, reranking, and multi-tenant knowledge bases.
You want one open-source platform that combines document-backed RAG, an agentic layer, and a wiki generator instead of wiring separate tools together.
Use it to
- Build a RAG pipeline over your own documents
- Run an autonomous reasoning agent on a knowledge base
- Generate a self-maintaining wiki from raw documents
- Set up multi-tenant semantic search
- Use local models via Ollama or OpenAI-compatible endpoints
For Developers building document-powered LLM applications and knowledge bases
- Role
- agent-app
- Language
- Go
- Licence
- custom (licence file present)
- Forks
- 3,528
- Open issues
- 374
- Last push
- 2026-09-17
- Latest release
- v0.1.2 · 2025-09-10
topicsragknowledge-basellmagenticsemantic-searchgolang