AB
Cloud Storage / Docs

Azure Blob Storage AI Integration

Connect Azure Blob Storage to BeforeQuery for grounded AI answers and agent actions across Cloud Storage / Docs.

Connect Azure Blob Storage
What is it?

About Azure Blob Storage

Azure Blob Storage is one of the Cloud Storage / Docs platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Azure Blob Storage

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Cloud Storage / Docs and select Azure Blob Storage.

  2. Step 02

    Sign in to Azure Blob Storage with an account that has permissions to grant BeforeQuery the Cloud Storage / Docs scopes required.

  3. Step 03

    Confirm the connection. Azure Blob Storage is now available as a source and action target for every playbook in your workspace.

Explore

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How BeforeQuery uses Azure Blob Storage

What the agent does with your Azure Blob Storage connection

  • 01

    Index Azure Blob Storage documents, spreadsheets, and folders into the Knowledge Base for grounded AI answers.

  • 02

    Watch for changes: sync new + updated files automatically so answers stay current.

  • 03

    Respect Azure Blob Storage permissions — users only see answers from documents they have access to.

  • 04

    Draft, edit, and file new documents into Azure Blob Storage from playbooks.

Use cases

What teams actually do with the Azure Blob Storage integration

Grounded Q&A from Azure Blob Storage content

Employees ask questions in Slack or the widget; BeforeQuery answers from your Azure Blob Storage documents with the source paragraph shown. No "search Google Drive, open five docs, skim to find the answer" tax.

Auto-sync on Azure Blob Storage changes

Every Azure Blob Storage file change (edit, add, delete) triggers an incremental re-index within minutes. Answers reflect the latest content without a manual sync button.

Draft-to-file document workflow

A playbook drafts a document (contract summary, policy update, meeting notes) and files it into the correct Azure Blob Storage folder with the correct sharing scope. Author reviews the draft in Azure Blob Storage; no copy-paste chain.

Answer questions grounded in Azure Blob Storage

Employees and customers ask Azure Blob Storage-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Azure Blob Storage record shown alongside the response. No context switching, no "log into Cloud Storage / Docs to check" round-trips.

Azure Blob Storage — Frequently Asked Questions

Common questions about connecting BeforeQuery to Azure Blob Storage.

Yes. Every retrieval checks the asking user's Azure Blob Storage permissions before including a document in the answer. If a user can't see the file in Azure Blob Storage, they won't see it in an answer either. Permission changes propagate on next sync (typically < 5 min).
Docs, sheets, slides, PDFs, plain text, and markdown are extracted natively. Images and audio can be transcribed on request. Binary files (zips, executables) are skipped. Full type list is configurable per source.
Standard OAuth 2.0 where Azure Blob Storage supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Azure Blob Storage data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Azure Blob Storage integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Azure Blob Storage objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Azure Blob Storage for real.

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