Citations to sources
Every answer links to the document and paragraph it came from. The user can verify. No more "the AI made it up".
Tools · RAG · documents
AnythingLLM
Turns company documentation into an assistant that answers with citations to sources. Separate workspaces per team, access control, audit log. Drastically reduces the time spent looking for that document.
Documents stop being files. They become answers.
In 30 seconds
Upload documents. Ask questions. Get cited answers.
AnythingLLM indexes PDFs, Word, Markdown, web pages and internal wikis into separate workspaces. Each workspace has its own model, documents, and permissions. Answers include clickable citations to the source passage. It's the fastest way to give people "ask an expert" access to company documentation, without anyone having to write new documentation.
For the business
The four advantages that matter
Workspace per team
Each department gets its own: marketing on commercial contracts, legal on regulations, support on manuals. Separate permissions, separate data.
No documentation rewrite
Works on documents as they are. Poorly formatted PDFs, Word with tables, messy wikis: indexes everything. No migration project.
Multiple inference engines
Works with Ollama, vLLM, LM Studio, even Claude/OpenAI if needed. Change model per workspace without re-indexing.
When it fits
Real use cases
- Technical manuals: assistant that answers on procedures
- Support knowledge base: agent that answers on products
- Compliance: assistant on internal policies and procedures
- New hire onboarding: self-service FAQ on processes
When it does NOT fit
Honest limits
- Quality depends on document hygiene: garbage in, garbage out
- Scanned documents (images) require OCR upstream
- Doesn't recognize implicit relationships: for advanced cases you need a knowledge graph
Installation
Docker container. First knowledge base in an hour.
Single Docker container. Connect the backend (typically Ollama), create the first workspace, upload documents via drag-drop UI. First indexing takes minutes for thousands of pages. Queryable via chat immediately.
Want to figure out if AnythingLLM makes sense for your organization?
The initial assessment clarifies use case, integration with the rest of the stack, investment. No generic presentations.