Two ways to use Pinecone in n8n
Pinecone Vector Store integration on n8n — Use this for full control over RAG pipelines. Provides direct access to Pinecone’s vector database so you can choose embedding models, customize chunking, and control search (semantic, lexical, or hybrid). Ideal for wiring up custom nodes for each step and tuning everything to specific use cases. See the Pinecone Vector Store integration on n8n for node docs, supported modes (insert, retrieve, update), and workflow templates. Pinecone Assistant integration on n8n — Use this for managed RAG with minimal setup. Upload files (PDF, DOCX, TXT, JSON, Markdown), connect any data source, and get production-ready knowledge retrieval. One node handles chunking, embedding, vector search, query planning, and reranking. Ideal for building AI workflows that need trusted, grounded context without configuring pipelines. See the Pinecone Assistant integration on n8n for installation and workflow templates. The quickstart below uses the Pinecone Assistant node.Getting started (Pinecone Assistant)
Follow our complete Assistant quickstart guide to:- 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