Your Team's Knowledge Base,
Now Conversational.
Internal wikis and doc archives are full of answers — but finding them takes too long. An AI knowledge base chatbot turns your team's documents into a conversational interface. Ask in plain English. Get answers from your own docs. Follow up naturally. CloudyBot adds rolling memory and a cloud browser, so it's not just search — it's a full internal AI assistant.
The Problem with Traditional Team Knowledge Management
Every team has some version of this problem: documentation exists somewhere, but it's scattered. Some things are in Notion. Some in Google Drive. Some in Confluence. Some in someone's email. And the format varies — PDFs, spreadsheets, Word docs, Slack threads.
The result: employees spend significant time searching for information rather than using it. A McKinsey study found that knowledge workers spend nearly 20% of their workweek searching for and gathering information.
An AI knowledge base chatbot solves the access problem. Instead of searching, you ask. Instead of clicking through pages, you get a direct answer. And with CloudyBot's rolling memory, follow-up questions work — because the AI remembers what you asked before.
- File Workspace (tiered by plan): Upload PDFs, Word docs, Excel spreadsheets, CSVs, and text files
- Conversational Querying: Ask questions about your docs in plain English
- Rolling Memory: Follow-up questions work — the AI remembers prior context within your session
- Cloud Browser Integration: Combine document knowledge with live web research in one workflow
- No RAG Setup: No vector databases, embeddings, or infrastructure to configure
- Private Processing: Your documents are never used to train AI models
How CloudyBot Replaces Your Fragmented Wiki
Notion AI, Confluence AI, and similar tools are knowledge base add-ons — they only search their own platform. If your knowledge is spread across systems (as it almost always is), you're still stuck.
CloudyBot takes a different approach: you bring the documents to the AI. Upload the files you want it to know about. Ask questions. The AI synthesizes across everything you've provided. No platform lock-in, no connector setup.
What You Can Upload
CloudyBot's file workspace accepts a wide range of business document formats:
- PDFs — Technical specs, reports, research papers, compliance docs
- Word/Google Docs — SOPs, policies, meeting notes, proposals
- Excel/CSV — Data exports, pricing sheets, product catalogs, org charts
- Plain text — Markdown files, README docs, code documentation
Real Team Use Cases
New Hire Onboarding
Upload your onboarding docs, company handbook, and team SOPs. New employees ask questions instead of hunting through folders. The AI walks them through processes step by step, answering follow-ups naturally.
SOP Lookup
"How do we handle customer refunds?" "What's the process for onboarding a new vendor?" Instead of ctrl+F through 50 pages, the AI finds the relevant section and explains it conversationally.
Data and Report Analysis
Upload a 200-row sales spreadsheet. Ask: "Which accounts haven't been contacted in 90 days?" or "Summarize Q4 performance by region." The AI analyzes and synthesizes across the data.
Research + Knowledge Hybrid
Combine internal docs with live web research. "Based on our Q3 product specs, what are competitors shipping this quarter?" The cloud browser handles the live research; the file workspace handles your internal context.
How It Works: Step by Step
- Sign up and log in — Free plan available. No credit card required. 60-second setup.
- Upload your documents — Drag and drop files into the Files panel in your dashboard. Storage limits apply per plan (see pricing). Supports PDF, Word, Excel, CSV, and text formats.
- Ask a question in chat — "Based on [filename], what is our policy on X?" or just ask your question and reference the file. The AI reads it, synthesizes an answer, and cites the source.
- Ask follow-ups — Rolling memory means you don't have to re-explain context. "What about the exception case?" works exactly as you'd expect.
- Combine with web research — On paid plans, use the cloud browser to pull live data and cross-reference with your internal docs in one conversation.
Traditional AI knowledge base setups require vector databases (Pinecone, Weaviate, Chroma), embedding pipelines, chunking strategies, and ongoing maintenance. CloudyBot handles all of this transparently. You upload a file, you ask a question, you get an answer. No infrastructure decisions required.
CloudyBot vs. Notion AI and Confluence AI
Notion AI / Confluence AI
- Only searches within their own platform
- Requires all content to be in their system
- No cloud browser for live research
- No rolling memory across different questions
- Tied to platform pricing and ecosystem
CloudyBot
- Works with any documents you upload
- No platform migration required
- Cloud browser for live + internal hybrid queries
- Rolling memory for natural follow-up questions
- Starts free; paid plans up to $79/mo (Agency) — pricing
Security and Privacy for Team Documents
When you're uploading internal SOPs, financial reports, or HR policies, security matters. CloudyBot's approach:
- User-isolated workspaces: Your files are accessible only to your account. No cross-contamination between users.
- No training on your data: Your documents are not used to train AI models — ours or our providers'. They exist solely for your AI to reference when you ask.
- Ownership verification: Every file access request is verified against your account. The AI can only read files you've uploaded.
- Deletion on demand: Delete files at any time from your dashboard. Deletion is immediate.
Frequently Asked Questions
What file formats does CloudyBot support?
CloudyBot supports PDFs, Microsoft Word documents (.doc, .docx), Excel spreadsheets (.xls, .xlsx), CSV files, and plain text/Markdown files. Each file is parsed and made available to the AI for your queries.
Is there a limit on how many files I can upload?
Yes. Storage and file counts are tiered by plan (from 50 MB / 10 files on Free up to 5 GB / 500 files on Agency). See the pricing comparison table.
Can the AI understand tables and data from Excel files?
Yes. CloudyBot can parse and reason over structured data in Excel and CSV formats. You can ask questions like "which rows match X criteria" or "summarize the data by column Y" and the AI will analyze the content appropriately.
Does the AI read all my files automatically?
The AI reads files when you reference them in conversation — either by asking about them directly or by having them in context. Files don't automatically inject into every conversation, which keeps token usage efficient and responses focused.
How is this different from just uploading to ChatGPT?
ChatGPT's file analysis is session-bound — your files disappear when you close the tab. CloudyBot maintains a persistent workspace with tiered storage. Files are always there when you need them. Additionally, rolling memory means follow-up questions build on prior context, which ChatGPT's file analysis doesn't support in the same way.
Can multiple team members share the same knowledge base?
Currently, each CloudyBot account has its own workspace. Team-shared workspaces are on the roadmap. For now, teams can use a shared login for a shared knowledge base, or each member can maintain their own workspace with relevant documents.
Start Building Your Team's AI Knowledge Base
Sign up for CloudyBot. Upload your first document. Ask it a question. See how your team's knowledge becomes instantly accessible — without building RAG pipelines or migrating to a new platform.
Free plan available • No credit card • 60 second setup
Explore more: Documentation Automation • Internal AI Assistant • Secure AI • How it Works • Pricing