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Knowledge, RAG, and Workflows

Upload documents for agents to search using vector embeddings.

1 min read 2 sections

Knowledge, RAG, and Workflows

Knowledge & RAG

Upload documents for agents to search using vector embeddings.

  • Supported formats: PDF, text files, markdown, web URLs.
  • Embedding providers: OpenAI, Cohere, Jina, Mistral, VoyageAI.
  • Vector stores: Pinecone, Qdrant, pgvector.
  • How to set up: Go to Knowledge in the sidebar → create a knowledge source → upload documents → attach the source to an agent.
  • Agents with knowledge sources attached can search relevant documents when answering questions via the built-in search_knowledge_base tool.

Workflows

Visual drag-and-drop builder for multi-step automations.

  • Node types: Trigger (start), Action (do something), Condition (if/else), Delay (wait), Loop (repeat).
  • Triggers: Webhook, schedule, manual, or event-based.
  • Building: Go to WorkflowsCreate Workflow → use the visual builder to add and connect nodes.

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