RAG and Chunking: Making AI Smarter, One Document at a Time

RAG (Retrieval-Augmented Generation) is changing how AI understands information.
Instead of relying solely on trained data, RAG lets AI search your private documents in real time, ensuring answers are accurate and context-aware.
Chunking — splitting text into smaller, meaningful sections — improves this process dramatically.
At In2netsolutions, we integrate RAG pipelines into n8n workflows, so your automations can reference live data, knowledge bases, or internal documents securely and intelligently.