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Documentation Index

Fetch the complete documentation index at: https://docs.dify.com.br/llms.txt

Use this file to discover all available pages before exploring further.

The Knowledge Base lets you upload documents that your agents can reference during conversations. Using vector search and RAG (Retrieval-Augmented Generation), agents find relevant information from your documents to provide accurate, grounded responses.

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How It Works

  1. Upload documents (PDF, TXT, MD, DOCX)
  2. Processing — Documents are chunked and converted into vector embeddings
  3. Storage — Embeddings are stored in PostgreSQL with pgvector
  4. Retrieval — When relevant, agents search your knowledge base and include findings in their responses

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Adding Documents

1

Navigate to Knowledge

Go to your agent’s settings and select the Knowledge tab.
2

Upload files

Drag and drop files or click to browse. Supported formats:
FormatExtensions
PDF.pdf
Text.txt, .md
Documents.docx
Spreadsheets.csv, .xlsx
3

Wait for processing

Documents are automatically chunked and embedded. This may take a few moments for large files.
4

Verify

Your documents appear in the knowledge list. You can preview chunks and test search queries.

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How Agents Use Knowledge

When you ask a question, the agent:
  1. Converts your question into a vector embedding
  2. Searches the knowledge base for semantically similar chunks
  3. Includes the most relevant chunks as context
  4. Generates a response grounded in your documents
For best results, upload well-structured documents with clear headings and sections. The chunking algorithm preserves document structure.

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Managing Knowledge

  • Add new documents at any time
  • Remove outdated documents
  • Re-sync to update embeddings after document changes
  • Test search queries to verify retrieval quality