n8n workflows for OpenAI Embeddings.

voice-assistant. Uses googleDriveTrigger, supabase, googleDrive, vectorStoreSupabase. Event-driven trigger; 19 nodes.

RAG+URL. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmOpenAi. Chat trigger; 19 nodes.

aiNodes. Uses openAi, gmailTool, chainLlm, lmChatOpenAi. Event-driven trigger; 19 nodes.

Automatically guide students through personalized learning sessions using AI-powered intent classification, book-based knowledge retrieval (RAG), and full session logging — all without writing a singl

Sales Automation, Artificial Intelligence, CRM Operations, Coaching & Training, AI Agents (RAG)

AI Agent to learn directly from your GitHub repository. It automatically syncs source files, converts them into vectorized knowledge

This template is an end-to-end demo of a chatbot using business data from multiple sources (e.g. Notion, Chargebee, Hubspot etc.) with RAG + SQL.

Description An intelligent conversational AI system that provides contextual responses by combining chat history, vector database knowledge retrieval, and web search capabilities. How it Works (High-l

The AI Support Agent combines Gmail, Slack, and Google Drive into a seamless support workflow powered by GPT-4o and Pinecone.

RAG AI Agent for Documents in Google Drive → Pinecone → OpenAI Chat (n8n workflow)

This workflow creates an intelligent Telegram bot with a knowledge base powered by Qdrant vector database. The bot automatically processes documents uploaded to Google Drive, stores them as embeddings

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restaurant chat. Uses telegramTrigger, agent, lmChatOpenRouter, memoryBufferWindow. Event-driven trigger; 19 nodes.

Upload to Supabase Demo. Uses extractFromFile, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

QdrantVectorStore:*. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 18 nodes.

EJ 7 - RAG (archivo pdf en la web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes.

N8N Expert. Uses embeddingsOpenAi, lmChatOpenAi, supabase, chainLlm. Webhook trigger; 18 nodes.

This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into

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

Transform any device manual into an intelligent AI assistant that provides 24/7 support for your users. This template works with ANY household appliance, electronic device, or technical equipment. Man

Advanced Gmail AI Auto-Responder with Context Intelligence The next-generation email automation that knows your communication style, remembers conversations, and responds with human-like intelligence.

This workflow turns WhatsApp voice messages into an AI assistant using Twilio, VAPI, and modular MCP servers. It handles scheduling, email, and knowledge queries all by voice. WhatsApp → Twilio → VAPI

This n8n workflow is the data ingestion pipeline for the "RAG System V2" chatbot. It automatically monitors a specific Google Drive folder for new files, processes them based on their type, and insert

This workflow automates a full RAG pipeline for structured documents (like insurance policies). Watches a Google Drive folder for new PDFs Uploads to LlamaIndex Cloud for parsing → returns clean Markd

This template monitors a Google Drive folder, converts PDF documents into clean text chunks with Unstructured, generates OpenAI embeddings, and upserts vectors into Pinecone. It’s a practical, product

Description This workflow is built for e-commerce store owners, customer support teams, and retail businesses who want to provide instant, intelligent email support without hiring additional staff. If

This workflow automates the process of summarizing recent Zendesk support tickets and sharing key insights in a Slack channel. It is ideal for support teams who want daily, AI-generated overviews of c

Learn your voice. Generate posts that sound like you — not AI.

📊 Description

Opo45V5U31Hszckj. Uses documentDefaultDataLoader, embeddingsOpenAi, textSplitterCharacterTextSplitter, vectorStoreSupabase. Event-driven trigger; 18 nodes.

Main Workflow. Uses documentDefaultDataLoader, vectorStorePinecone, lmChatXAiGrok, embeddingsOpenAi. Webhook trigger; 18 nodes.

This workflow powers a support chat experience that uses an OpenAI RAG agent with in-memory vector search to answer questions from a knowledge base, and includes a manual ingestion flow that fetches a

Stock Q&A Workflow. Uses embeddingsOpenAi, manualChatTrigger, stickyNote, chainRetrievalQa. Chat trigger; 17 nodes.

Webhook Respondtowebhook. Uses stickyNote, manualTrigger, googleDrive, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

AI Email processing autoresponder with approval (Yes/No). Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Manual trigger; 17 nodes.

AI Email processing autoresponder with approval (Yes/No). Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Manual trigger; 17 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses manualTrigger, httpRequest, vectorStorePinecone, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

weavite. Uses vectorStoreWeaviate, embeddingsOpenAi, googleSheets, chatTrigger. Event-driven trigger; 17 nodes.

EJ 7 - RAG (web). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 17 nodes.

Use Vectors in RAG. Uses googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 17 nodes.

What this does

Using a Crew of AI agents (Senior Researcher, Visionary, and Senior Editor), this crew will automatically determine the right questions to ask to produce a detailed fundamental stock analysis.

This workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Specification (documentation) using natural language. Built with n8n, OpenAI's LLMs and

This workflow is designed to automate the process of handling incoming emails, summarizing their content, generating appropriate responses, and obtaining approval before sending replies. Below are the

This n8n template demonstrates how to build a WhatsApp-based AI chatbot that answers user questions using document retrieval (RAG) powered by Supabase for storage, OpenAI embeddings for semantic searc

This workflow allows you to upload a PDF file and ask questions about it using the Question and Answer Chain and the Weaviate Vector Store nodes.

Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving information from an external vector database. In this post, we’ll walk through a

This advanced workflow creates a customized, embedded lead-capture form, automatically logs client data to a spreadsheet, and uses AI to instantly analyze and summarize the lead for rapid human follow

This workflow automates the end-to-end process of capturing company information from Google Drive, storing it semantically in Pinecone, and interacting with users via an intelligent AI chatbot. It eli

This template is an n8n workflow that integrates with Jira to provide automated replies.

Transform your email workflow with this intelligent automation that drafts professional emails through Telegram commands using AI and contact retrieval. Key Features

This workflow is perfect for: Healthcare ecommerce businesses that want to automate product recommendations. Founders or developers building an AI assistant using retrieval-augmented generation (RAG)

bug_reporter. Uses telegramTrigger, chainRetrievalQa, lmChatOpenAi, retrieverVectorStore. Event-driven trigger; 17 nodes.

Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI). Uses httpRequest, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

Обработка обратной связи. Uses lmChatGoogleGemini, embeddingsOpenAi, vectorStorePGVector, documentDefaultDataLoader. Event-driven trigger; 17 nodes.

lec 8 - upload KB. Uses vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 17 nodes.

InsightsLM - Upsert to Vector Store. Uses vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Webhook trigger; 17 nodes.

Manual Stickynote. Uses googleDrive, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, stickyNote. Chat trigger; 16 nodes.

2Chat Chatbot. Uses agent, memoryBufferWindow, formTrigger, vectorStoreInMemory. Webhook trigger; 16 nodes.

"AI-Powered CFO Forecasting Agent: Automated Revenue Predictions from Stripe Data"

This tutorial explains how to build the backend workflow in n8n that indexes YouTube video transcripts into a Pinecone vector database. Note: This workflow handles the processing and indexing of trans

This guide is designed for developers, data scientists, and AI enthusiasts who want to create intelligent chatbots capable of understanding and using custom data. Whether you are building a research a

This workflow allows users to ask questions about past meetings using their voice. It converts the voice question into text, searches stored meeting notes using Pinecone, and replies with a spoken ans

Provide your S3 bucket containing documents such as PDFs and MS Word in the "Get Files from S3" node. You will need to provide AWS credentials that will allow the node to access the bucket and downloa

beyscolleciton. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 16 nodes.

Cognito FAQ. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 16 nodes.

Agent Vocal Insane. Uses agent, lmChatOpenAi, googleCalendarTool, toolVectorStore. Webhook trigger; 16 nodes.

AI powered triage agent. Uses mondayCom, googleDocs, slack, githubTrigger. Event-driven trigger; 16 nodes.

vectordb_many_pdfs. Uses vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Chat trigger; 16 nodes.

This template ingests internal docs into an in-memory vector knowledge base using OpenAI embeddings, then runs a public support chat powered by Anthropic Claude that answers only from that knowledge a

Vector DB Loader from Google Drive. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, vectorStorePGVector. Event-driven trigger; 15 nodes.

Manual Stickynote. Uses stickyNote, manualTrigger, vectorStorePinecone, chatTrigger. Event-driven trigger; 15 nodes.

4526. Uses agent, lmChatOpenAi, embeddingsOpenAi, memoryBufferWindow. Event-driven trigger; 15 nodes.

Who it's for

The workflow first populates a Pinecone index with vectors from a Bitcoin whitepaper. Then, it waits for a manual chat message. When received, the chat message is turned into a vector and compared to

Who's it for

This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ingestion of product documentation and enable AI-driven,

Automatically convert documents from Google Drive into vector embeddings using OpenAI, LangChain, and PGVector — fully automated through n8n.

This template helps you to create an intelligent document assistant that can answer questions from uploaded files.

This template provides an AI-powered Q&A assistant for the Urology domain using Retrieval-Augmented Generation (RAG). It uses Pinecone for vector search and GPT-4o for conversational responses.

This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual responses by combining your knowledge base with AI capabilities. The system aut

This template creates an intelligent AI assistant for WhatsApp that can: Respond naturally to messages using Google Gemini AI Remember previous conversations for each user Access a knowledge base for

Replace manual task prioritization with intelligent AI reasoning that thinks like a Chief Operating Officer. This workflow automatically fetches your Asana tasks every morning, analyzes them using adv

Webhook trigger receives voice note data including title, transcript, and timestamp from external services (example here: voicenotes.com) Field extraction isolates the key data fields (title, transcri

Automate expense reviews with AI-powered CFO-level analysis. This workflow monitors Airtable expense submissions, uses GPT-4 to analyze expenses like an experienced CFO, flags suspicious expenses with

⚡ How it works

Ever wanted to just ask your repository what's going on instead of scrolling through endless issue lists? This workflow lets you do exactly that.

This workflow automates customer email support by combining Gmail, AI classification, and a knowledge base to provide instant, accurate, and friendly responses. It’s designed for businesses that want

This n8n workflow template lets you chat with your Google Drive documents (.docx, .json, .md, .txt, .pdf) using OpenAI and Pinecone vector database. It retrieves relevant context from your files in re

This workflow is designed for companies looking to onboard new employees and interns efficiently. It's perfect for HR teams, team leaders, and organizations that want to provide instant access to comp

Turn form submissions into AI-curated quotes with SKU selection straight from Qdrant, branded PDF generation, and automatic email—now streamlined for quoting only (FAQ removed). (Improved from the pre

V3_RAG_Chatbot_Copy. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 15 nodes.

26-ask-questions-about-a-pdf-using-ai. Uses vectorStorePinecone, chatTrigger, agent, googleDrive. Event-driven trigger; 15 nodes.

IA - Indexação Google Docs -> Supabase pgvector. Uses whatsAppTrigger, httpRequest, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 15 nodes.

Travel AssistantAgent. Uses chatTrigger, memoryMongoDbChat, lmChatGoogleGemini, vectorStoreMongoDBAtlas. Chat trigger; 14 nodes.

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

🧠 Google Drive Upload Trigger → Pinecone Vector Upsert for Document Indexing Category: AI & LLM / Document Indexing Level: Intermediate Tags: Google Drive, Pinecone, OpenAI, Embeddings, Vector Store,

Building agentic AI workflows often requires multiple moving parts: memory management, document retrieval, vector similarity, and orchestration.

This part collects data from the ServiceNow Knowledge Article table, processes it into embeddings, and stores it in Qdrant. Trigger: When clicking ‘Execute workflow’

Ingest PDF files from S3, extract text, chunk, embed with OpenAI embeddings, and index into a Qdrant collection with metadata. Provide a chat entry point that uses an Agent with OpenAI to retrieve fro

Who’s it for

✍️ Ultimate AI Blog Content Creator with Slack + Pinecone + Perplexity

This workflow turns your Gmail inbox into an AI-powered customer support assistant using Google Gemini, OpenAI embeddings, and Pinecone vector search. It automatically classifies incoming emails, retr

This workflow automates a full RAG ingestion pipeline. When a new OCR JSON file is added to a Google Drive folder, the workflow extracts lesson metadata, parses and cleans the Arabic text, generates s

This workflow automates the process of handling new tour package requests received via email, analyzes the request, and provides personalized tour package recommendations using AI and a vector databas

GPT-5 MCP Multi-Source Orchestrator is a next-generation AI agent for n8n that blends the raw intelligence of GPT-5 with the structured power of MCP tools and multi-source data retrieval. It unifies y

Chatbot Webhook. Uses lmChatGoogleGemini, agent, outputParserStructured, memoryPostgresChat. Webhook trigger; 14 nodes.

My workflow 10. Uses vectorStoreSupabase, googleDrive, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 14 nodes.

validator. Uses memoryBufferWindow, embeddingsOpenAi, vectorStorePGVector, formTrigger. Event-driven trigger; 14 nodes.

eworld_chat_final. Uses agent, lmChatOpenAi, memoryPostgresChat, vectorStorePGVector. Webhook trigger; 14 nodes.

Restaurant digital transformation. Uses googleDriveTrigger, googleDrive, vectorStoreSupabase, embeddingsOpenAi. Event-driven trigger; 14 nodes.

Qdrant Vector Database Embedding Pipeline. Uses vectorStoreQdrant, manualTrigger, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 13 nodes.

Firecrawl RAG. Uses embeddingsOpenAi, vectorStoreSupabase, lmChatOpenAi, agent. Event-driven trigger; 13 nodes.

This n8n workflow automates the handling of incoming emails. It detects and filters out spam, searches a knowledge base (FAQ) stored in a Pinecone vector database, and sends a reply using Gmail — all

🧠 This workflow is designed for one purpose only, to bulk-upload structured JSON articles from an FTP server into a Qdrant vector database for use in LLM-powered semantic search, RAG systems, or AI as

This workflow automates the first line of customer support by intelligently drafting email replies. It bridges the gap between your CRM (Supabase), your technical documentation (Vector Store), and you

handoff. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 13 nodes.

Data_Ingestion_External_Pdfworkaround_V3. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Scheduled trigger; 13 nodes.

Data_Ingestion_Internal_Pdfworkaround_V3. Uses googleDrive, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 13 nodes.

RAG Whatsapp. Uses @devlikeapro/n8n-nodes-waha, agent, lmChatOpenAi, embeddingsOpenAi. Event-driven trigger; 13 nodes.

AI Agent with Tools. Uses agent, lmChatOpenAi, lmChatAnthropic, toolCode. Webhook trigger; 12 nodes.

This template is a workflow that registers Jira tickets to Pinecone.

dxnweb_chat. Uses agent, lmChatOpenAi, memoryPostgresChat, embeddingsOpenAi. Webhook trigger; 12 nodes.

Chat. Uses agent, memoryPostgresChat, vectorStoreSupabase, embeddingsOpenAi. Webhook trigger; 12 nodes.

Customer Support Workflow. Uses stickyNote, gmailTrigger, textClassifier, lmChatOpenRouter. Event-driven trigger; 11 nodes.

dssat-rag. Uses chatTrigger, embeddingsOpenAi, agent, documentDefaultDataLoader. Chat trigger; 11 nodes.

Post de discourser. Uses httpRequest, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Scheduled trigger; 11 nodes.

RAG Search Agent. Uses executeWorkflowTrigger, agent, lmChatOpenAi, toolVectorStore. Event-driven trigger; 11 nodes.

Data_Ingestion_Internal_v2. Uses formTrigger, googleDrive, embeddingsOpenAi, vectorStorePinecone. Event-driven trigger; 11 nodes.

NovaCart_Monthly_Report_Agent_V2. Uses agent, lmChatOpenAi, vectorStorePinecone, embeddingsOpenAi. Scheduled trigger; 11 nodes.

meeting_notes. Uses googleDocs, slack, chainLlm, vectorStorePinecone. Webhook trigger; 10 nodes.

Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings

This release introduces a Voice-Enabled Tour Recommendation System that leverages n8n, ElevenLabs Voice Agent, OpenAI GPT-4o, and Pinecone Vector DB to deliver personalized travel itineraries based on

tr3dbs. Uses telegramTrigger, embeddingsOpenAi, lmChatOpenAi, telegram. Event-driven trigger; 10 nodes.

Data_Ingestion_v1. Uses documentDefaultDataLoader, embeddingsOpenAi, vectorStorePinecone, googleDrive. Scheduled trigger; 10 nodes.

Novacart_Monthly_Report_Code_V3. Uses agent, embeddingsOpenAi, lmChatOpenAi, gmail. Scheduled trigger; 10 nodes.

lec 8 - chat. Uses chatTrigger, agent, lmChatOpenRouter, memoryBufferWindow. Chat trigger; 10 nodes.

Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.

Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.

crtnvecdb. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 9 nodes.

Update Knowledge. Uses executeWorkflowTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 9 nodes.

01 — Ingest NIST CSF 2.0. Uses readWriteFile, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Webhook trigger; 9 nodes.

NGO.tools Knowledge Base Ingestion. Uses postgres, vectorStorePGVector, documentDefaultDataLoader, embeddingsOpenAi. Webhook trigger; 8 nodes.

rag_faq_indexation. Uses vectorStorePinecone, googleDrive, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 8 nodes.

Fluidflow Slack Triage Bot. Uses slack, slackTrigger, lmChatOpenAi, vectorStoreQdrant. Event-driven trigger; 8 nodes.

Ingest Vector Store Ecommerce. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Ingest Vector Store. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

ConfluencePineConeUpsert. Uses textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader, vectorStorePinecone. Event-driven trigger; 8 nodes.

RAG — Ingestion. Uses httpRequest, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 7 nodes.

FPCVectorStoreIngestion. Uses vectorStorePGVector, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 6 nodes.

03 — Query naive (baseline). Uses vectorStoreSupabase, embeddingsOpenAi, httpRequest. Webhook trigger; 6 nodes.

ingest_documents. Uses readBinaryFile, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 5 nodes.

tool_search_products. Uses executeWorkflowTrigger, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 4 nodes.

Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI. Uses chatTrigger, lmChatGoogleGemini, stickyNote, documentDefaultDataLoader. Chat trigger; 13 nodes.

This template shows how to use the Question and Answer tool to save costs in RAG use cases.

This workflow is ideal for: Professionals Project managers Sales and support teams Anyone managing high volumes of Gmail messages

> Disclaimer: this workflow template uses the community package. Community nodes are unverified and usage of them comes with some risks. See here for instructions on installing n8n community nodes.

This workflow integrates Google Sheets with Supabase Vector Store for storing personal data as vectors. It utilizes OpenAI and Google Gemini AI models for enhanced data processing and querying.

Description 📌 Overview

simple_vector_db. Uses googleDriveTrigger, googleDrive, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 13 nodes.

Calendar Event Auto-tag. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Grant Application Routing. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Idea to IG Carousel. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

API Stats Chart. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Order Shipped Notification. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Applicant Feedback Folder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Birthday Telegram Reminder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Calendar to ClickUp. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Blood Test Email Alert. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Cron Success Slack. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Notion API Update. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Onboarding Checklist Slack. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Drink Water Reminder. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Interview Scheduler. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Survey Auto Analyze. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Habit Form Weekly Summary. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

GA Report Email. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Low Stock Discord. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Voice Task to Notion. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

API Monitor Auto Restart. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Zoom Attendance Log. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Bank SMS Alert to Telegram. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

CRM Patient Intake. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Course Completion Certificate. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Etsy Review to Slack. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

JSON to Sheet. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Competitor Price Scraper. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

GitHub Commit Jenkins. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Monthly Social Media Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Auto-post Blogs to LinkedIn and Twitter. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

Cross-post YouTube Uploads to Facebook. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Schedule Instagram Content from Airtable. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Reddit Upvote Alert. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Alert on Instagram Competitor Story. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

YouTube Comment Summarizer. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Follow-up Emails. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Mailchimp Campaign Tracking. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreSupabase. Webhook trigger; 12 nodes.

SendGrid Bounce Alert. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Forward Attachments. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 12 nodes.

Parse Invoice Emails. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.