RAG Context Aware Chunking or Google Drive to Pinecone via OpenRouter and Gemini

Smarter document search starts with smarter chunking.

This automation takes structured documents from Google Drive, intelligently splits them into context-rich chunks, and creates high-quality embeddings using Google Gemini — all stored in Pinecone for fast, accurate retrieval in RAG applications.

Perfect for anyone building AI-powered search, document Q&A, or knowledge bases that demand precision.

What it does:

📄 Fetches structured documents from Google Drive
✂️ Splits content into context-based chunks using custom logic
🔁 Processes each chunk while preserving full-document awareness
🧠 Uses GPT-4o-mini to generate contextual metadata
➕ Prepends context to each chunk for enriched understanding
🌀 Creates semantic embeddings via Google Gemini
📦 Stores embeddings and metadata in Pinecone for RAG-ready retrieval

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.