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

How it works

1. 1.Trigger workflow manually and retrieve documents from Google Drive
2. 2.Load documents with default processor and split into segments using recursive character algorithm
3. 3.Generate embedding vectors for document chunks using Gemini model
4. 4.Process batches of chunks through intelligent agent workflow
5. 5.Send vectors with metadata to Pinecone index for storage and indexing

Use cases

• Build semantic search systems that understand long document context and relationships
• Automate processing of large enterprise document collections before intelligent analysis
• Create flexible knowledge bases queryable through natural language interfaces

Requirements

• Active Google Drive account with documents ready for processing and extraction
• Valid Pinecone API credentials with configured index for vector storage
• Gemini API access and Open Router account for distributed API calls

Service Value

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