AutomationFlowsRecipes › Textsplitterrecursivecharactertextsplitter → Supabase Vector Store

Textsplitterrecursivecharactertextsplitter → Supabase Vector Store

When you need Textsplitterrecursivecharactertextsplitter and Supabase Vector Store talking to each other, here are the 66 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Textsplitterrecursivecharactertextsplitter with Supabase Vector Store

AI & RAG

Supercharge your trading decisions with this end-to-end AI automation that connects market intelligence, technical analysis, and automated trade execution — all without manual intervention.

Tool Think, Supabase Vector Store, OpenAI Embeddings +14
AI & RAG

Your AI workforce is ready. Are you?

Google Sheets Tool, Mcp Trigger, Google Drive +29
AI & RAG

Hi! I’m Amanda, a creator of intelligent automations using n8n and Make. I’ve been building AI-powered workflows for over 2 years, always focused on usability and innovation. This one here is very spe

OpenAI Chat, Redis, OpenAI +11
AI & RAG

• Create a Google Drive folder to watch. • Connect your Google Drive account in n8n and authorize access. • Point the Google Drive Trigger node to this folder (new/modified files trigger the flow).

Agent, Chat Trigger, Memory Buffer Window +14
AI & RAG

This intelligent chatbot leverages cutting-edge financial APIs and AI-driven analysis to deliver comprehensive stock research reports. Get instant access to professional-grade investment analysis that

Tool Think, Supabase Vector Store, OpenAI Embeddings +15
AI & RAG

RAG_Ingest. Uses httpRequest, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 73 nodes.

HTTP Request, Supabase Vector Store, Document Default Data Loader +4
AI & RAG

Chat with docs - 5minAI New version. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 62 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

This workflow automates customer support across multiple channels (Email, Live Chat, WhatsApp, Slack, Discord) using AI-powered responses enhanced with Retrieval Augmented Generation (RAG) and your pr

Email Read Imap, WhatsApp Trigger, Slack Trigger +12
AI & RAG

Auto repost job with RAG is a workflow designed to automatically extract, process, and publish job listings from monitored sources using Google Drive, OpenAI, Supabase, and WordPress. This integration

Google Drive, Supabase Vector Store, OpenAI Embeddings +12
AI & RAG

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

Supabase, Agent, Anthropic Chat +10
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Supabase Vector Store, Document Default Data Loader +8
AI & RAG

Automatically extract job listings from any website URL, format them with AI, and publish directly to WordPress. Just send a URL via Telegram, and watch as the workflow scrapes the job details, enhanc

Google Drive, Supabase Vector Store, OpenAI Embeddings +8
AI & RAG

This n8n workflow turns your Telegram bot into a smart, multi-modal AI assistant that accepts text, documents, images, and audio messages, interprets them using OpenAI models, and responds instantly w

Telegram Trigger, Telegram, OpenAI +10
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questi

Supabase Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +11
AI & RAG

Reranks #1. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 48 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +12
AI & RAG

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

Google Drive, Supabase Vector Store, OpenAI Embeddings +12
AI & RAG

Dynamic Models. Uses lmChatOpenRouter, agent, gmailTool, airtableTool. Event-driven trigger; 43 nodes.

OpenRouter Chat, Agent, Gmail Tool +12
AI & RAG

The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Message Trigger: The node triggers whenever a user message arrives and passe

Chat Trigger, Memory Postgres Chat, OpenAI Embeddings +16
AI & RAG

This n8n workflow builds a self-improving AI agent for handling email responses. It integrates Gmail for incoming messages, uses an AI agent with a Supabase vector store for knowledge retrieval, draft

OpenAI Embeddings, Supabase Vector Store, OpenAI Chat +10
AI & RAG

Splitout Schedule. Uses scheduleTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 36 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +5

See more Textsplitterrecursivecharactertextsplitter workflows · Supabase Vector Store workflows

FAQ

How do I trigger a Supabase Vector Store action from Textsplitterrecursivecharactertextsplitter?

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

Do I need both a Textsplitterrecursivecharactertextsplitter and a Supabase 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 Textsplitterrecursivecharactertextsplitter → Supabase 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.