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Introducing the Pinecone Assistant node in n8n
Connect Pinecone Assistant to any n8n integration and start building knowledgeable AI workflows that understand your data.

Pinecone Assistant delivers trusted knowledge for RAG and agentic workflows. Focus on building AI applications instead of piecing together pipelines and managing infrastructure.
Upload files (PDFs, docx, text, JSON, Markdown) and start querying immediately. The entire pipeline is handled automatically: chunking, embedding, vector search, query planning, and reranking.
The official Pinecone Assistant n8n node brings Assistant's end-to-end RAG capabilities directly into n8n workflows, letting you connect any data source to AI-backed automation.
What the node does:
Drag, drop, and connect
Just add the Assistant node to your workflow and connect it to any data source (e.g., Google Drive docs, Slack messages, webhooks). Assistant automatically handles chunking, embedding, and reranking for you.
Transform data into trusted knowledge
Turn any n8n data source into queryable knowledge that delivers accurate, grounded context for AI applications.
→ Chat with your Google Drive documents
Connect your Google Drive and chat with your documents in natural language using this workflow.
→ Auto-answer Slack questions
Monitor Slack channels and automatically respond with relevant documentation from your Dropbox knowledge base using this workflow.
→ Extract insights from LinkedIn comments
Use Apify and Pinecone Assistant to analyze and extract insights from LinkedIn post comments using this workflow.
The Pinecone Vector Store node is available already in n8n, giving you direct access to Pinecone's vector database. The Pinecone Vector Store node is ideal when you need full control over your RAG pipeline—choosing your own embedding models, customizing chunking strategies, and building custom workflows.
The new Pinecone Assistant node offers a different approach: a fully managed RAG service that handles the entire pipeline for you. Assistant automatically handles query planning and semantic search to retrieve the most relevant results. Instead of configuring embeddings, chunking parameters, and reranking logic, you get production-ready RAG with a single node.
Key differences:
Use Pinecone Assistant node to: Build AI workflows with trusted, production-ready knowledge retrieval. Minimal setup, zero configuration, maximum accuracy.
Use Pinecone Vector Store node for: Full control over embedding models, chunking strategies, search approach (ie. semantic, hybrid), and custom pipelines when you need granular customization.
| Note: n8n users can access an exclusive Standard plan trial with bonus credits through March 31st. See details below. |
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Follow our complete quickstart guide to:
Sign up for Pinecone's Standard plan trial before May 1st and receive:
Offer details: Start using the n8n Assistant node and claim this promotion before May 1, 2026. Upgrade to a paid Standard plan before July 1st, 2026 to activate your 6-month benefits.
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