Extract and intelligently search Google Drive documents with AI

How it works

1. 1.Start automation manually with user input or trigger
2. 2.Fetch files and folders from Google Drive storage
3. 3.Split document content into smaller text segments for processing
4. 4.Generate vector embeddings for each segment using OpenAI models
5. 5.Store embeddings in memory-based vector store for fast retrieval
6. 6.Query documents semantically and return relevant results

Use cases

• Semantic search across enterprise document archives and repositories
• Analyze stored documents and generate intelligent summaries on demand

Requirements

• Active Google account with full access permissions to Google Drive
• Valid OpenAI API key configured for embedding generation

Service Value

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