Extract and Analyze Google Drive Documents with AI
Workflow Description
Automate loading files from Google Drive, split them into chunks, and store embeddings in a vector database. Enable intelligent search and question-answering on document content using OpenAI's language models.
How it works
- 1.Receive files from Google Drive or upload manually via chat interface
- 2.Split document content into logical text chunks for processing
- 3.Convert chunks to embeddings and store in Qdrant vector database
Use cases
- Answer questions about company documentation and knowledge bases
- Search for specific information across multiple PDF and document files
Requirements
- Active Google Drive connection with file access permissions
- Valid OpenAI API key for embeddings and language model access
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (17)
Embeddings OpenAI1
OpenAI
On new manual Chat Message
Manual Chat Trigger
Sticky Note1
Sticky Note
Retrieval QA Chain
Chain Retrieval Qa
Respond to Webhook
Webhook
Vector Store Retriever
Retriever Vector Store
Webhook1
Webhook
When clicking "Execute Workflow"
Manual Trigger
Google Drive
Google Drive
Binary to Document
Document Binary Input Loader
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Embeddings OpenAI
OpenAI
Sticky Note
Sticky Note
Qdrant Vector Store
Vector Store Qdrant
Qdrant Vector Store1
Vector Store Qdrant
OpenAI Chat Model
OpenAI
Sticky Note2
Sticky Note