# Pinecone Assistant Node in n8n: Turn Any Data Source Into Knowledge

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

Lea Wang-Tomic, Jenna Pederson · 2026-01-28

**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 n8n node. Turn any data source into knowledgable AI workflows. ](https://cdn.sanity.io/images/vr8gru94/production/beb0c5d75b980d9d61d1b091989b77f98df539e7-2400x1200.png)


## **What is Pinecone Assistant?**

[Pinecone Assistant](https://www.pinecone.io/product/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 Pinecone Assistant n8n Node**

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:**

- List and select assistants dynamically
- Manage files: upload with metadata, update content and metadata, and delete
- Retrieve context snippets with advanced metadata filtering

**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.

## **Example Workflows**

**→ Chat with your Google Drive documents**

Connect your Google Drive and chat with your documents in natural language [using this workflow.](https://n8n.io/workflows/9942-rag-powered-document-chat-with-google-drive-openai-and-pinecone-assistant/)

**→ Auto-answer Slack questions**

Monitor Slack channels and automatically respond with relevant documentation from your Dropbox knowledge base [using this workflow](https://raw.githubusercontent.com/pinecone-io/n8n-templates/refs/heads/main/query-support-docs-via-dropbox-and-slack/query-support-docs-via-dropbox-and-slack.json).

**→ Extract insights from LinkedIn comments**

Use Apify and Pinecone Assistant to analyze and extract insights from LinkedIn post comments [using this workflow](https://n8n.io/workflows/13064-extract-insights-from-linkedin-comments-with-apify-pinecone-assistant-and-gpt-41/).

## **Pinecone Assistant node vs. Pinecone Vector Store node**

The [Pinecone Vector Store node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepinecone/) 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:**

- **End-to-end vs. DIY:** Single node handles entire pipeline with production-ready accuracy vs. separate nodes for each step
- **One key vs. many:** One Pinecone API key vs. multiple API keys (vector database + embedding + reranker)
- **Automatic file management:** Direct upload (PDF, DOCX, TXT, JSON, MD) and intelligent processing vs. manual vector operations

**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.

## **Get Started**

#### [Sign up](https://app.pinecone.io/?integration=pinecone-n8n-assistant-node) for Pinecone 

| Note: n8n users can access an exclusive Standard plan trial with bonus credits through March 31st. See details below. |

#### Build Your First Workflow

Follow our [complete quickstart guide](https://docs.pinecone.io/guides/assistant/quickstart/n8n-quickstart) 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

## **Limited-Time Offer for n8n Users**

[Sign up for Pinecone's Standard plan trial ](https://app.pinecone.io/?integration=pinecone-n8n-assistant-node)before May 1st and receive:

- **Standard free trial **(3 weeks, $300 credits) to explore all features
- **$40/month in credits for 6 months** (starting after your trial ends)
- **Waived Assistant hourly fees**

**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.