Two ways to use Pinecone in n8n
Use the Pinecone Vector Store node for full control over RAG pipelines. It gives you direct access to Pinecone Database, so you can choose embedding models, customize chunking, and control search (semantic, lexical, or hybrid). It works well for wiring up custom nodes for each step and tuning everything to a specific use case. See the Pinecone Vector Store integration on n8n for node docs, supported modes (insert, retrieve, update), and workflow templates. Use the Pinecone Assistant node for managed RAG with minimal setup. Upload files (PDF, DOCX, TXT, JSON, Markdown), connect any data source, and get knowledge retrieval that’s ready for production. One node handles chunking, embedding, vector search, query planning, and reranking. It works well for AI workflows that need trusted, grounded context without configuring pipelines. See the Pinecone Assistant integration on n8n for installation and workflow templates. The following quickstart uses the Pinecone Assistant node.Getting started (Pinecone Assistant)
Follow the complete Pinecone Assistant quickstart guide to do the following:- Install the Pinecone Assistant node in n8n
- Get your API keys
- Create your first assistant
- Import a ready-to-use workflow template
- Start chatting with your documents