RAG: Context-Aware Slicing | Google Drive to Pinecone via Gemini

How it works

1. 1.Trigger the workflow manually to initiate document retrieval from Google Drive
2. 2.Load and process documents using the Document Data Loader with Gemini-powered analysis
3. 3.Intelligently split text using recursive character splitting while preserving semantic context
4. 4.Convert chunked text to vector embeddings through Gemini embeddings integration
5. 5.Batch process and store vectors in Pinecone for scalable semantic search capability

Use cases

• Build semantic search engines that understand meaning beyond keyword matching
• Create intelligent document Q&A systems for enterprise knowledge bases
• Develop AI assistants that retrieve accurate contextual information from large document collections

Requirements

• Active Google account with authorized Google Drive access
• Pinecone API key with configured index environment
• OpenRouter API credentials for Gemini model access

Service Value

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