AutomationFlowsRecipes › Chat Trigger → Pinecone Vector Store

Chat Trigger → Pinecone Vector Store

When you need Chat Trigger and Pinecone Vector Store talking to each other, here are the 63 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with Pinecone Vector Store

AI & RAG

WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.

Agent, HTTP Request, Document Default Data Loader +14
AI & RAG

WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.

Memory Mongo Db Chat, Agent, HTTP Request +14
AI & RAG

Collects cybersecurity news from trusted RSS feeds and uses OpenAI’s Retrieval-Augmented Generation (RAG) capabilities with Pinecone to filter for content that is directly relevant to your organizatio

RSS Feed Read, OpenAI Chat, Agent +7
AI & RAG

Advanced Ai Demo Presented At Ai Developers 14 Meetup. Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

Workflow 2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node,

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Agent, Chat Trigger, Tool Think +11
AI & RAG

My workflow 3. Uses formTrigger, splitInBatches, lmChatGoogleGemini, httpRequest. Event-driven trigger; 36 nodes.

Form Trigger, Google Gemini Chat, HTTP Request +10
AI & RAG

This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone.

Pinecone Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

This n8n workflow automates the entire process, from learning based on your website data, documents to a multi-channel chatbot with automated ticket creation. It's the perfect solution for businesses

Chat Trigger, Agent, Form Trigger +10
AI & RAG

Need to turn a one-line chat request into a fully-wired n8n workflow template—complete with AI agents, RAG, and web-search super-powers—without lifting a finger? That’s exactly what Agent Builder auto

Chat Trigger, Agent, OpenAI Embeddings +7
AI & RAG

This powerful n8n workflow deploys a sophisticated, multi-talented AI chatbot designed to streamline your e-commerce and customer support operations. The AI assistant can intelligently understand user

Shopify Tool, Chat Trigger, Agent +7
AI & RAG

This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. It stores both sources in a Pinecone vector database so your AI agent can r

Microsoft Outlook Trigger, Microsoft Outlook, Pinecone Vector Store +9
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Google Drive, Pinecone Vector Store, OpenAI Embeddings +7
AI & RAG

This workflow is designed for support teams, data engineers, and AI developers who want to centralize Jira issue data into a vector database. It collects open issues and their associated comments, con

Text Splitter Recursive Character Text Splitter, HTTP Request, Pinecone Vector Store +8
AI & RAG

This workflow implements a complete Retrieval-Augmented Generation (RAG) knowledge assistant with built-in document ingestion, conversational AI, and automated analytics using n8n, OpenAI, and Pinecon

Form Trigger, Data Table, Text Splitter Recursive Character Text Splitter +8
AI & RAG

Empower your workflows with an intelligent AI chat assistant that retrieves real-time context from Google Sheets and a Pinecone knowledge base using Retrieval-Augmented Generation (RAG). 🤖📂 This workf

Memory Buffer Window, Agent, Output Parser Structured +11
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Pinecone Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

Use cases include: Building a knowledge base* from your website. Creating a chatbot* that answers customer queries using your own site content. Powering RAG workflows* for FAQs, support docs, or produ

HTTP Request, Document Default Data Loader, OpenAI Embeddings +10
AI & RAG

Categories: Business Automation, Customer Support, AI, Knowledge Management

XML, HTTP Request, Document Default Data Loader +8
AI & RAG

Airbnb Guest Assistant. Uses lmChatOpenAi, googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 26 nodes.

OpenAI Chat, Google Drive, Document Default Data Loader +11
AI & RAG

AI chatbots are only as good as the data they learn from. Most large language models (LLM) rely only on their training datasets.

Pinecone Vector Store, Google Gemini Embeddings, Document Default Data Loader +7

See more Chat Trigger workflows · Pinecone Vector Store workflows

FAQ

How do I trigger a Pinecone Vector Store action from Chat Trigger?

Most workflows in this list use either a Chat Trigger webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Pinecone Vector Store nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chat Trigger and a Pinecone Vector Store account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Chat Trigger → Pinecone Vector Store workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.