AutomationFlowsRecipes › Documentdefaultdataloader → Memorypostgreschat

Documentdefaultdataloader → Memorypostgreschat

When you need Documentdefaultdataloader and Memorypostgreschat talking to each other, here are the 55 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Documentdefaultdataloader with Memorypostgreschat

AI & RAG

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

Postgres, Crypto, Redis +13
AI & RAG

A lightweight, self-hosted AI assistant built entirely in n8n. Multi-channel messaging (Telegram, WhatsApp, Gmail), persistent memory, task management, and autonomous work — all in a single visual wor

Telegram Trigger, OpenRouter Chat, Data Table +20
AI & RAG

This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle

Chat Trigger, Memory Postgres Chat, Tool Workflow +20
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

Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, Goog

@Devlikeapro/N8N Nodes Waha, Google Drive Trigger, @Apify/N8N Nodes Apify +14
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

RAG AI Agent Template V5. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 56 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +12
AI & RAG

Wordpress Ai Chatbot To Enhance User Experience With Supabase And Openai. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
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

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

AI Email Agent - Complete System. Uses gmailTrigger, gmail, vectorStorePGVector, embeddingsOpenAi. Event-driven trigger; 47 nodes.

Gmail Trigger, Gmail, Vector Store Pgvector +8
AI & RAG

This n8n workflow automates the process of ingesting files from Google Drive into a Supabase database, preparing them for a knowledge base system. It supports text-based files (PDF, DOCX, TXT, etc.) a

Google Drive Trigger, Postgres, Supabase +11
AI & RAG

This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specifi

Reranker Cohere, Supabase Vector Store, Agent +10
AI & RAG

use cases: research stock market in Indonesia. analyze the performance of companies belonging to certain subsectors or company comparing financial metrics between BBCA and BBRI providing technical ana

Chat Trigger, Chat, Telegram Trigger +10
AI & RAG

Ultimate Agentic RAG AI Agent Template. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, stickyNote. Event-driven trigger; 42 nodes.

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

V3 Local Agentic RAG AI Agent. Uses documentDefaultDataLoader, memoryPostgresChat, chatTrigger, agent. Webhook trigger; 41 nodes.

Document Default Data Loader, Memory Postgres Chat, Chat Trigger +9
AI & RAG

Author: Jadai kongolo

Document Default Data Loader, Memory Postgres Chat, Chat Trigger +9
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

🛠️ How It Works: System Architecture Workflow ini bekerja melalui empat lapisan proses utama yang terintegrasi secara otomatis: Input Processing & Routing Telegram Trigger: Menangkap setiap pesan masu

Telegram Trigger, HTTP Request, Telegram +13
AI & RAG

This RAG workflow allows you to build a smart chat assistant that can answer user questions based on any collection of documents you provide. It automatically imports and processes files from Google D

Agent, OpenAI Chat, Supabase Vector Store +7

See more Documentdefaultdataloader workflows · Memorypostgreschat workflows

FAQ

How do I trigger a Memorypostgreschat action from Documentdefaultdataloader?

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

Do I need both a Documentdefaultdataloader and a Memorypostgreschat 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 Documentdefaultdataloader → Memorypostgreschat 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.