Chat With Your Data: Cloud Storage
Knowledge workers spend on average 1.8 hours per day searching for information. A custom AI search layer indexed over your Google Drive, Box, or Dropbox means asking "What did we agree with Acme in the last MSA?" and getting the answer with a link to the specific clause, not a list of 40 files to open.
We build permission-aware RAG search across your cloud storage. Every answer includes the source file name and a direct link back to the document. Users verify and access the full document in one click. Supports PDF, Google Docs, DOCX, presentations, spreadsheets, and plain text files.
Deploy as a Slack bot, web interface, or embedded widget. Works with Google Drive, Box, and Dropbox, individually or simultaneously.
Tell us about your cloud storage setup.
Six components that give your cloud storage a natural language search interface, with citations and permission checks.
The ingestion pipeline authenticates to your cloud storage provider using OAuth. It indexes documents from the folders and shared drives you specify, no files are stored on third-party infrastructure beyond your chosen vector store. New and modified documents are synced on a configurable schedule.
PDF (including scanned PDFs with OCR), Google Docs, DOCX, Google Slides, PPTX, Google Sheets, XLSX, and plain text files are all supported. Each file type has a tailored extraction pipeline that preserves section structure, so answers can reference the correct paragraph or slide, not just the file name.
The retrieval layer checks file-level sharing permissions before returning any result. Users searching the system only get results from files they have access to in the underlying storage. If a file is shared with specific users or a team Drive, those restrictions are enforced at query time.
New files uploaded to your drive and updated documents are indexed on a scheduled sync, default every four hours. For teams with high document velocity, webhook-based near-real-time indexing is available for Google Drive and Box.
Every answer includes the file name, folder path, and a direct link back to the document in your cloud storage. Users can read the full document in one click. For long documents, the answer cites the specific section, not just the file.
Deploy as a Slack bot in the channels where your team works, a standalone web search interface, or an embedded widget in your intranet. The Slack bot is the most common deployment, teams ask questions in context without opening a separate tool.
Each file type has a tailored extraction pipeline that preserves document structure.
Including scanned PDFs with OCR text extraction
Google Docs
Full document content, headings, and comments
DOCX
Microsoft Word files with tracked changes support
Google Slides
Slide text and speaker notes
PPTX
Microsoft PowerPoint slide content
Google Sheets
Tabular data and cell content
XLSX
Microsoft Excel workbook content
Plain text
TXT, Markdown, and CSV files
From OAuth connection to live search, the build sequence.
Connect to your cloud storage
We set up OAuth authentication with your Google Drive, Box, or Dropbox account. You choose which shared drives, folders, or team spaces to include in the index. Personal private folders are excluded by default unless explicitly included.
Initial document ingestion
The ingestion pipeline processes all documents in scope, extracting text, preserving structure, and building metadata tags including file name, folder path, owner, last modified date, and file type. Large document sets are ingested in batches.
Permission map configuration
File sharing permissions are mapped from your cloud storage provider. The retrieval layer is configured to enforce these permissions at query time using the querying user's identity.
Test retrieval quality
Before deployment, we test the system on a sample of real questions your team asks. Common queries: finding specific contract clauses, locating the latest version of a proposal, retrieving project delivery docs. We tune retrieval until results are consistently accurate.
Deploy to Slack or web
The interface is deployed in your chosen channel. For Slack, we install the bot and configure it to respond in designated channels or via DM. Users can ask "Find the NDA we signed with Acme last year" and get the document link and relevant clause.
Ongoing sync and monitoring
A dashboard shows search volume, top queries, and answer confidence trends. Files not found (where the system had low confidence) are flagged so you can identify documentation gaps or files that need better naming.
Teams with large document archives who currently spend too long finding specific content within those documents.
Legal teams searching for past contract language, ops teams looking for the latest process document, project managers locating delivery reports from last quarter. When Drive has thousands of files, the answer exists but takes too long to find.
Sales reps need to find the most recent proposal template, the case study from the most similar customer, or the pricing sheet for a specific product tier. A search interface means asking a question in Slack instead of forwarding a "where is this file?" message to the ops team.
Agencies accumulate years of client deliverables across projects. When a new client engagement resembles a past one, finding relevant prior work takes significant time. A search layer over the project archive means querying prior work in plain language.
We’d rather decline than take a project that won’t deliver value.
Teams whose storage is primarily media files
This system extracts and searches text content. If your Google Drive or Dropbox is primarily video files, audio recordings, image libraries, or design assets without accompanying text documents, there is little text content to index and the system will not add value. It works well for document-heavy drives.
Teams without consistent naming or folder organisation
The system can find content by meaning, not by file name, so bad naming conventions alone are not a blocker. However, if files have no folder structure and years of arbitrary uploads with no context in the document content, retrieval quality will be lower. A basic cleanup of the most important folders before indexing improves results significantly.
Tell us which cloud storage provider you use, the approximate document count, and the top questions your team currently spends time looking up. We'll reply within one business day.