Knowledge Raven

Connecting files directly to your AI sounds simple — but a dedicated knowledge layer delivers fundamentally better results.

- Scattered search Each source searched separately — no unified view across your knowledge.
- No source citations Answers come without references. No way to verify where information came from.
- No access control Everyone sees everything — or nothing. No way to scope access by team or role.
- Context window limits Even 1M tokens fills up fast. No ranking, no relevance — just stuffing files into a prompt.

- Unified hybrid search Vector + keyword search across all sources at once. Find what matters, even with vague queries.
- Deep-linked citations Every answer cites the exact passage with a clickable link back to the original document.
- Workspace permissions Control who accesses what. Isolated workspaces, scoped knowledge bases, fully auditable.
- Usage insights See what's being searched, which docs are most useful, and where knowledge gaps exist.

Knowledge Raven is designed from the ground up for AI agents to retrieve your company knowledge — while you stay in control.

Connect Claude, GPT, Gemini, or any MCP-compatible LLM. No vendor lock-in.

Vector search + BM25 keyword search combined. Find relevant content even with vague queries.

PDF, DOCX, TXT, Markdown, CSV — all indexed automatically. Audio, video, and images on the roadmap.

Google Drive, Confluence, Notion, GitHub, and Dropbox — all live. Automatic sync when source documents change.

Every citation links back to the exact passage in the original document. Verify in one click.

See what's being searched, which docs are most useful, and where knowledge gaps exist.

Per workspace per month. No hidden fees.

For individuals exploring Knowledge Raven.

For teams that need connectors and advanced search.

Custom limits, all connectors, and dedicated support.

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