Context-Aware Document Chunking for Pinecone RAG

This n8n workflow improves standard RAG pipelines by adding a context-aware chunking step: before embedding each section of a Google Drive document, an OpenRouter-powered AI agent generates a short summary explaining how that section fits into the document as a whole, then merges this context with the original text before creating Google Gemini embeddings and storing them in Pinecone. Built for teams who have noticed generic RAG chatbots losing important context between chunks, this technique meaningfully improves retrieval accuracy for long, complex documents like contracts, manuals, or research papers.

Category: RAG & Knowledge Base