How it works
The knowledge base uses Retrieval-Augmented Generation (RAG) to give your agent access to your business information during calls. When a caller asks a question, the agent automatically searches the knowledge base for relevant content and uses it to formulate an accurate answer.Adding knowledge
- Upload a file
- Crawl a website
- Go to your agent’s settings and open the Knowledge tab.
- Click Upload file.
- Select a document (PDF, TXT, DOCX, or similar text formats).
- The file is automatically processed: text is extracted, split into chunks, and indexed.
Managing documents
Each uploaded file or crawled URL appears as a document in your knowledge base list. You can:- View chunks — inspect the individual text chunks created from a document
- Edit chunks — modify chunk content directly if the automatic processing missed something
- Delete documents — remove a document and all its chunks
How chunking works
Documents are split into overlapping text chunks to ensure the agent can find relevant context even when information spans multiple sections:- Chunk size — optimized for retrieval accuracy
- Overlap — 200 characters of overlap between adjacent chunks prevents context loss at boundaries
- Minimum length — chunks shorter than 100 characters are filtered out
Best practices
Structure your content clearly
Structure your content clearly
Use headings, bullet points, and short paragraphs. The chunking algorithm works best with well-organized content.
Keep information up to date
Keep information up to date
Delete outdated documents and re-upload or re-crawl when your business information changes. Stale knowledge leads to incorrect answers.
Reference the knowledge base in instructions
Reference the knowledge base in instructions
Tell your agent to use the knowledge base in its instructions:
Test with real questions
Test with real questions
After adding knowledge, test your agent with the exact questions your callers would ask. Review the transcript to verify the agent retrieves the right information.
