WeKnora
Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.
GraphCanon updated 3d · GitHub synced 3d · 57 views this month
Decision brief
WeKnora is an open-source LLM knowledge platform that transforms raw documents into a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. It is built in Go and offers flexibility through its Docker Com포
Good fit when
- Use WeKnora if you prefer the Go (Golang) language ecosystem.
- If your project benefits from integration with a self-maintained Wiki feature of WeKnora.
Avoid when
- Avoid WeKnora if your team's primary expertise is not in Go (Golang).
- If you require real-time updates that are more seamlessly integrated with external systems, as WeKnora focuses on internal maintenance processes.
- Pricing:
- freemium - Free and open-source under the MIT license.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of 3d
- Provenance
- Not a fork · Organization account
- As of 3d
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/Tencent/WeKnora pkg.go.devHow it fits your stack(6)
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Overview
WeKnora is an open-source project that enables users to transform raw documents into a retrievable AI-based system with capabilities of autonomous reasoning, evaluation, and maintenance.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 18, 2026
- Languages
- go
Source: github.language · Aug 18, 2026
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README
📦 Installation & Launch
git clone https://github.com/Tencent/WeKnora.git
cd WeKnora
cp .env.example .env # Edit .env as needed, see comments in the file
docker compose pull # Pull the latest images
docker compose up -d # Start core services
Once started, visit http://localhost to get started.
To use a local Ollama model, run
ollama serve > /dev/null 2>&1 &first.
🔧 Optional Services (Docker Compose Profiles)
Add --profile flags to enable additional components. Multiple profiles can be combined:
| Profile | Description | Command |
|---|---|---|
| (default) | Core services | docker compose pull && docker compose up -d |
full | All features | docker compose --profile full pull && docker compose --profile full up -d |
neo4j | Knowledge Graph (Neo4j) | docker compose --profile neo4j pull && docker compose --profile neo4j up -d |
minio | Object Storage (MinIO) | docker compose --profile minio pull && docker compose --profile minio up -d |
langfuse | Tracing (Langfuse) | docker compose --profile langfuse pull && docker compose --profile langfuse up -d |
Combine profiles: docker compose --profile neo4j --profile minio pull && docker compose --profile neo4j --profile minio up -d
Stop services: docker compose down
📄 License
This project is licensed under the MIT License. You are free to use, modify, and distribute the code with proper attribution.
For agents
This page has a .md twin and JSON over the API.