The Knowledge Base lets you upload documents that your voice agents can reference during conversations. Instead of encoding all information into prompts, you can provide source documents and let the agent retrieve relevant content on the fly.
You must configure an embedding provider and API key in AI Models Configuration → Embedding before using the Knowledge Base. Document processing and retrieval depend on embeddings, so this feature will not work without a valid embedding configuration.
How It Works
- You upload a document (PDF, DOCX, TXT, or JSON) to the Knowledge Base
- Dograh processes and chunks the document for efficient retrieval
- You attach the document to one or more workflow nodes
- During a call, the agent searches the document for relevant information based on the caller’s questions and uses it to generate accurate responses
Supported File Types
| Format | Extension |
|---|
| PDF | .pdf |
| Word | .docx, .doc |
| Text | .txt |
| JSON | .json |
Uploading Documents
- Go to Knowledge Base Files in the dashboard
- Click Upload New or drag and drop a file
- Wait for processing to complete — the document will be chunked and indexed automatically
Attaching Documents to Nodes
Once a document is processed, you can attach it to any Start Call or Agent node in your workflow:
- Open the node edit dialog
- Scroll to the Knowledge Base Documents section
- Select one or more documents for the agent to reference
The agent will only search documents attached to the current node, so attach only the documents relevant to that conversation step.
Best Practices
- Keep documents focused — a single topic per document produces better retrieval results than a large multi-topic file
- Use clear, structured content — headings, lists, and short paragraphs help the chunking process
- Attach selectively — only attach documents relevant to a specific node rather than attaching everything everywhere
- Keep documents up to date — re-upload when source information changes to avoid stale answers
