GH Repository · axoviq-ai
synthadoc
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.
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pythonskill-packPythonsynthetic-dataagent-skillscli-toolobsidian-pluginagentic-aipkmsyntheticdomain-adaptationlocal-llmenterprise-solutionsenterpriseknowledge-graphobsidian-mdpersonal-knowledge-managementrag-alternative
Synthadoc is an open-source LLM knowledge compilation engine that converts raw documents into structured, local-first wikis. It is positioned as a transparent, human-readable alternative to traditional RAG, packaged as a Python CLI tool and skill pack with an Obsidian plugin.
You want document knowledge compiled into readable, self-managed wiki output instead of opaque retrieval pipelines.
Use it to
- Compile raw documents into structured local wikis
- Replace RAG with human-readable knowledge output
- Integrate compiled knowledge into Obsidian
- Adapt LLMs to a domain via synthetic knowledge
- Run knowledge compilation locally with local LLMs
For Developers and teams building local, self-managed LLM knowledge bases
- Role
- skill-pack
- Language
- Python
- Licence
- AGPL-3.0
- Forks
- 124
- Open issues
- 4
- Last push
- 2026-09-16
- Latest release
- v0.1.0 · 2026-04-15
topicsknowledge-compilationrag-alternativelocal-llmobsidianknowledge-graphcli-tool