A personal knowledge base powered by a local LLM combines your private documents with live web search for answers grounded in both personal context and current information. The challenge is connecting a local model to both your files and real-time web data. We ranked five approaches by local LLM compatibility, search quality, and privacy.
Scavio's MCP server connects local LLMs to real-time web search across six platforms, complementing personal document retrieval. Combined with local embedding tools, it creates a knowledge base that searches both your files and the live web.
Full Ranking
Scavio + Local Embeddings
Local KB with multi-platform web augmentation
- Web search across six platforms via MCP
- Pairs with any local embedding tool
- Privacy: documents stay local, only search queries go external
- Structured results for knowledge base ingestion
- Requires setting up local embeddings separately
- 250 free credits limits web augmentation volume
Obsidian + Local LLM Plugins
Markdown knowledge base with local LLM chat
- Established knowledge base with rich plugin ecosystem
- Local LLM plugins available
- Markdown files stay on your machine
- No built-in web search
- Plugin quality varies
- Limited structured data beyond Markdown
AnythingLLM
Self-hosted document chat with web search
- All-in-one: embedding, chat, document management
- Web search integration available
- Supports multiple LLM providers
- Self-hosting overhead
- Web search quality depends on configured provider
- Resource-intensive
PrivateGPT
Privacy-maximalist document Q&A
- Everything runs locally
- Strong privacy guarantees
- Supports multiple document formats
- No web search by default
- Resource-intensive
- Limited to document Q&A
Open WebUI + SearXNG
Free self-hosted chat with web search
- Free and fully self-hosted
- Built-in SearXNG integration
- Good chat interface
- SearXNG requires separate hosting
- No structured platform data
- Knowledge base features limited vs dedicated tools
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Web search platforms | 6 (Google, YouTube, Amazon, etc.) | None (documents only) | Configurable |
| Local document support | Via local embeddings | Markdown files | Built-in |
| Privacy | Documents local, queries external | Fully local | Fully local |
| Setup complexity | Medium (MCP + embeddings) | Low (Obsidian + plugins) | Medium (Docker) |
| Cost | 250 free/mo + local compute | Free | Free (self-hosted) |
| Structured data | JSON from 6 platforms | Markdown only | Document formats |
Why Scavio Wins
- Six-platform web search adds live Google, YouTube, Amazon, and Reddit data to personal knowledge bases, filling the gap that document-only tools leave.
- MCP server integration means local LLM frontends can add web search without custom code, keeping the knowledge base setup simple.
- PrivateGPT and Obsidian are better for purely local, privacy-maximalist setups where no external queries are acceptable.
- Documents stay local while only search queries go to Scavio's API, balancing privacy with access to current web data.
- Structured JSON from six platforms provides richer web augmentation than SearXNG's aggregated web snippets.