Extract Google Drive Documents and Answer Questions Intelligently

How it works

1. 1.Trigger automation when receiving a query through the interface or webhook
2. 2.Load documents from specified Google Drive folders automatically
3. 3.Split document content into small, processable text chunks
4. 4.Convert chunks to vectors and store them in Qdrant database
5. 5.Search vectors to find content most relevant to the question
6. 6.Send results with the question to OpenAI model and deliver the answer

Use cases

• Answer employee questions about company policies and instructions stored in Drive
• Analyze project reports and extract required information without manual reading
• Provide customer self-service support through intelligent knowledge base search
• Automate large document review and answer specific inquiries

Requirements

• Google Drive account containing documents to analyze
• OpenAI API keys for accessing language models and embeddings
• Qdrant configuration for efficient vector storage and retrieval

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.