AI-Powered Company Documents Q&A Assistant with Google Drive and GPT-4 Mini

Description

Company Knowledge Base Assistant

Who's it for

This workflow is designed for companies looking to onboard new employees and interns efficiently. It's perfect for HR teams, team leaders, and organizations that want to provide instant access to company knowledge without manual intervention. Whether you're a startup or an established company, this assistant helps your team find answers quickly from your existing documentation.

What it does

This AI-powered chatbot automatically learns from your company documents stored in Google Drive and provides accurate, contextual answers to employee questions. The system continuously monitors a designated Drive folder, processes new documents, and makes them instantly searchable through a conversational interface.

Key features:
Automatic document ingestion from Google Drive
Intelligent search across all company documents
Conversational interface with memory
Source citation for answers
Real-time updates when new documents are added

How it works

The workflow has two main components:

Document Processing Pipeline: Monitors your Google Drive folder every minute for new files. When a document is added, it's automatically downloaded, split into searchable chunks, converted into vector embeddings, and stored in an in-memory knowledge base.

Chat Interface: Users send questions via webhook, the AI agent searches the knowledge base for relevant information, maintains conversation history for context, and returns accurate answers with source citations.

Requirements

Google Drive account with OAuth2 credentials
Google Service Account for document downloads
OpenAI API key for embeddings and chat model
Designated Google Drive folder for company documents

Setup Instructions

Configure Google Drive:
Set up Google Drive OAuth2 credentials in the "Watch Company Docs Folder" node
Set up Google Service Account credentials in the "Fetch New Document" node
Select your company documents folder in the trigger node

Configure OpenAI:
Add your OpenAI API key to both embedding nodes
The workflow uses GPT-4 Mini for cost-effective responses

Upload Your Documents:
Add company handbooks, policies, procedures, and FAQs to the designated Drive folder
Documents will be automatically processed within minutes

Test the Chat Interface:
The webhook endpoint accepts POST requests with this format:
{
"data": "Your question here",
"session_id": "unique-user-id"
}

Integrate with Your Tools:
Connect the webhook to Slack, Teams, or your internal chat platform
Each user gets their own conversation history via session_id

How to customize

Change check frequency**: Adjust polling interval in "Watch Company Docs Folder" from every minute to hourly or daily
Adjust chunk size**: Modify the "Split into Searchable Chunks" node to change how documents are segmented
Increase context**: Change topK parameter in "Search Company Documents" to retrieve more relevant sections
Extend memory**: Adjust contextWindowLength in "Conversation History" to remember more previous messages
Switch AI model**: Replace GPT-4 Mini with GPT-4 or other models based on your accuracy needs
Add filters**: Modify the system prompt to focus on specific departments or document types
Custom responses**: Update the system message in "Company Knowledge Assistant" to match your company's tone

Tips for best results

Use clear, descriptive file names for documents in Drive
Organize documents by department or topic in subfolders
Include FAQ documents with common questions and answers
Regularly update outdated documents to maintain accuracy
Monitor the assistant's responses and refine the system prompt as needed