Connect Your Files: Bringing Google Drive, Dropbox, and OneDrive into Your AI Workspace

Your Knowledge Is Scattered

Your organization’s knowledge is scattered across Google Drive, Dropbox, and OneDrive. Thousands of documents containing institutional knowledge, project records, policies, and procedures — spread across platforms, folders, and shared drives that no single person fully understands.

AI tools that cannot access these documents answer questions from their training data instead of your data. That is a guess, not an answer. The difference between a useful AI assistant and an expensive autocomplete is whether it can reach the information your organization actually operates on.

Direct Cloud Storage Integration

AODex connects to Google Drive, Dropbox, and OneDrive via OAuth. These are standard authorization flows. No credentials are stored on our side. Tokens refresh automatically, and connections can be revoked at any time from either the AODex dashboard or the cloud provider’s account settings.

Setup takes minutes. Authorize the connection, and AODex can see your file structure. No agents to install, no IT tickets, no middleware.

The Workflow

Browse your cloud storage from within AODex. Navigate the folder structure you already know. Select individual documents or entire folders. Import them into knowledge collections where they are automatically extracted, chunked, embedded, and made searchable.

The knowledge base stays synchronized. When source documents change, the collection reflects those changes. You are not working against a stale snapshot — you are working against your current files.

What Happens on Import

Documents are processed through the knowledge pipeline. Each file passes through several stages:

Text extraction pulls content from PDFs, Word documents, spreadsheets, presentations, and plain text files. Formatting is preserved where it matters for meaning.

Chunking splits documents into semantically coherent segments using configurable strategies. You control chunk size and overlap based on the nature of your content. Technical documentation and legal contracts have different optimal chunking parameters.

Vector embedding generation converts each chunk into a high-dimensional representation that captures semantic meaning. This is what makes your knowledge searchable by concept rather than just keyword.

Knowledge graph extraction is optional and identifies entities and relationships within your documents — people, organizations, dates, contractual terms, technical dependencies. This layer adds structured understanding on top of semantic search.

The result is a collection that AI can query with full citations back to source documents, pages, and passages.

Security Through the Pipeline

Every AI query against your knowledge base routes through AOSentry. The same protections that apply to direct chat apply to knowledge retrieval.

PII tokenization strips sensitive data before it reaches any language model. Guardrails filter content according to your organization’s policies. Audit logs record every access — who queried what, when, and which documents were referenced in the response.

Your documents do not become training data. They remain yours, governed by your policies, visible only to authorized users.

Team and Organization Scoping

Imported collections can be scoped to individual users, teams, or the entire organization. A legal team’s contracts stay separate from engineering’s documentation. HR policies can be available organization-wide while financial projections remain restricted to the finance team.

Access control applies to knowledge just like everything else in AODex. Role-based permissions determine who can import, who can query, and who can administer collections. There is no single bucket where everything lands and everyone can see it.

Sync and Lifecycle

Connections track last sync time and surface errors clearly. If a file was deleted at the source, you know. If a sync failed, you know why.

Revoke access at any time. The OAuth token is invalidated and the connection is removed. Documents already imported into collections can be retained or purged — your call, your policy.

Adding new folders to an existing collection is the same workflow as the initial import. The knowledge base grows as your document library grows.

Where Your Knowledge Lives Is Where Your AI Should Work

Enterprise AI that cannot access your actual documents is enterprise AI that gives you generic answers. It can summarize the internet. It cannot summarize your last board meeting.

Cloud integration closes the gap between where your knowledge lives and where your AI works. Google Drive, Dropbox, and OneDrive are not obstacles to overcome. They are the starting point. AODex meets your organization where its files already are and turns those files into searchable, citable, governed knowledge.