RAG Knowledge Ingestion (Auto) n8n Workflow

What it does

RAG Knowledge Ingestion (Auto) n8n Workflow overview

Watches a Google Drive folder for new files. When a document is added, the workflow automatically downloads it, splits it into optimally-sized chunks, generates vector embeddings, and stores them in Pinecone — making the content instantly searchable by any connected AI assistant. Set it once and forget it.

Who it is for

A practical fit for teams with this repeatable process

Anyone building or maintaining an AI assistant that needs to stay current with evolving documentation. Eliminates the manual step of rebuilding your knowledge base.

• Any business with an AI assistant or chatbot

How it works

The workflow logic, step by step

1. Drive WatchNew file detected
2. DownloadFetch document
3. Chunk + EmbedVectorize content
4. PineconeStore embeddings

Connected tools

Integrations

These are the services represented in the current template. Substitute services may require different nodes, credentials, and field mappings.

• Pinecone
• Google Drive
• Embeddings
• n8n

What is built in

Features

• Zero-touch ingestion — add a file to Drive, it's searchable in minutes
• Optimal chunk sizing for accurate RAG retrieval
• Works with PDFs, Word docs, text files, and markdown
• Pairs with any Pinecone-powered chatbot or AI agent
• No coding required to add new documents to your knowledge base

Before you import

Requirements

Third-party accounts, usage fees, and API access are not included with the template.

• An active n8n instance
• Pinecone account or API credentials
• Google Drive account or API credentials
• Embeddings account or API credentials
• Your own business rules, sample data, and approval criteria

What the buyer receives

A documented, editable n8n workflow package

FAQ

Questions about this n8n workflow