Swiftgum provides a unified solution for sourcing, managing, and securing content for AI-powered applications. By acting as an ETL for AI, Swiftgum streamlines the process of connecting to external sources (e.g., Google Drive, Notion), extracting relevant data, and empowering you to load it into a vector database (like Supabase) for AI-driven workflows.

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Why Swiftgum?

Unified Access Control

Easily manage tokens, permissions, and roles across multiple integrations (e.g., Google Drive, Notion). This ensures consistent, secure, and straightforward permission handling for your AI apps.

ETL for AI

Fetch and transform files from various sources into a Markdown-ready format, ensuring your AI or LLM can access up-to-date data whenever needed. Swiftgum helps you schedule and automate ingestion for a seamless data pipeline.

Secure & Compliant

Encrypted tokens, detailed audit logs, and integrated RBAC help you meet privacy regulations like GDPR or HIPAA. Swiftgum also supports role-based constraints for enterprise-grade security.

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Key Features

Automated Policy Extraction

Standardize permissions from connected tools (e.g., Drive, Notion) into a common policy format.

Real-Time Sync

Keep multiple services in sync so your knowledge base never goes stale. Trigger updates on demand or schedule them.

Embeddings & RAG

Push data into vector databases (like Supabase) to power advanced query/inference flows (Retrieval-Augmented Generation).

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Getting Started in 3 Steps

1

Sign Up & Configure

  • Sign up on Swiftgum Cloud and obtain your x-api-key.
  • Admin Dashboard: Enable desired integrations (Google, Notion, etc.).
2

Manage Integrations

In the Swiftgum dashboard, toggle on the integrations you need. For each integration, provide OAuth details if required.

Once enabled, Swiftgum can fetch files through ephemeral tokens or scheduled jobs, ensuring you have the latest content.

3

Leverage in AI Flows

Pull data from Swiftgum using the provided endpoints to load your documents into a vector store (e.g., Supabase). Then run RAG queries or other AI workflows on fresh, secure data.

Continue to the High-Level Architecture section to see how Swiftgum fits into your AI workflow.