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Knowledge Sourcing & Engine Architecture

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Knowledge Sourcing

Below is the Mermaid diagram representing the Knowledge Sourcing pipeline, explaining how data is ingested, processed, and stored.

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Explanation

  • Knowledge Sourcing subgraph: Demonstrates the ingestion pipeline from Drive and Notion through Refresh, Access Control, and Embeddings.
  • Admin/User Knowledge: External sources feeding into the system.
  • Supabase, RAG, Inference, Mem0: Shows AI feature pipelines (RAG-based retrieval, inference, and memory functionality).

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Engine & App Architecture

The following Mermaid diagram illustrates how the Engine processes files and interacts with the App, which manages integrations, OAuth flows, and storage.

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Explanation

  • Engine: Processes files (e.g., converts to Markdown) and updates the database.
  • App: Manages integrations, tokens, and OAuth flows with external providers.
  • Developer: Configures integrations.
  • UI Kit & End User: Users interact with UI components to connect their accounts.