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Knowledge Base Overview

The knowledge base is the foundation of your chatbot's intelligence. It contains all the information your chatbot uses to answer questions.

How It Works​

When you add content to your knowledge base:

  1. Processing - Content is extracted from your documents
  2. Chunking - Content is split into manageable pieces
  3. Embedding - Each chunk is converted to a vector representation
  4. Indexing - Vectors are stored for fast retrieval

When a user asks a question:

  1. Query embedding - The question is converted to a vector
  2. Search - Similar content is found in your knowledge base
  3. Context - Relevant chunks are sent to the AI model
  4. Response - The AI generates an answer using the context

This process is called Retrieval-Augmented Generation (RAG).

Supported Content Types​

TypeFormatsDescription
DocumentsPDF, DOCX, TXTText documents and reports
SpreadsheetsXLSX, CSVTabular data
VideosMP4, YouTubeTranscribed content
ImagesPNG, JPGOCR text extraction
WebsitesHTMLCrawled web content

Adding Content​

You can add content to your knowledge base by:

Storage and Limits​

Storage limits depend on your plan:

PlanStorageDocuments
Free50 MB10
Starter500 MB50
Pro2 GB200
Business10 GBUnlimited

Best Practices​

Content Quality​

  • Use well-structured documents with clear headings
  • Ensure text is machine-readable (not scanned images without OCR)
  • Remove unnecessary content (headers, footers, page numbers)

Organization​

  • Group related documents together
  • Use descriptive file names
  • Add access controls where needed

Updates​

  • Keep content current
  • Remove outdated documents
  • Use scheduled crawling for websites