RAG & Knowledge Bases
800 results — 125 downloadable workflow files, 675 source-linked n8n references
Query Slack Channel History with Natural Language Using OpenAI
On a chat message, an OpenAI agent queries Slack channel history in natural language and returns answers.
PDF Proposal Knowledge Base with S3, OpenAI GPT 4o & Qdrant RAG Agent
On manual run, extracts PDF proposals from AWS S3, embeds them into Qdrant with OpenAI, and answers questions via a chat RAG agent.
Complete RAG System with Autoupdate Documents Using Qdrant
On manual run or a Google Drive change, embeds Drive documents into Qdrant with OpenAI and answers chat questions via Gemini retrieval-augmented QA.
Gemini Google Sheets Chat Agent
On a webhook request, a Gemini agent queries Google Sheets and external APIs to answer, then responds via the webhook.
Search Outlook Emails with Natural Language Queries Using GPT 4o
On a chat message, a GPT-4o agent searches Microsoft Outlook from natural-language queries and aggregates the matching emails.
ChatBot For RAG Based LLMs
On a chat message, answers questions with an OpenAI agent grounded in Google Drive documents embedded into a Pinecone vector store.
Simple RAG chatbot
On a new Google Drive file, indexes it into Pinecone, then answers chat questions with an OpenAI RAG agent and Cohere reranking.
ServiceNow Knowledge Chatbot
On a chat message, answers questions from ServiceNow knowledge articles using a Qdrant-backed OpenAI RAG agent with conversation memory.
Export Dian Memo 03
On a schedule, an OpenAI agent processes documents into a Supabase vector store and sends results through Gmail.
Slack Project Update RAG Agent
On a Slack message, an OpenAI agent retrieves project context from Pinecone and replies with a project update in Slack.
Multi-agent RAG system for smarter BRD (Business Requirement Document) writing
On form submission, builds a RAG-grounded business requirements document with OpenAI, logs it to Google Sheets, and emails it via SendGrid.
Drive Document Chat Agent
On a chat message, extracts a Google Drive file, embeds it into an in-memory vector store, and answers via an OpenAI agent.
Context Ingestion Pipeline
On a webhook, parses incoming documents with an OpenRouter agent and embeds them into a Milvus vector store using OpenAI embeddings.
IPL Cricket Rules Q&A Chat Bot using RAG and Google Gemini API
On a chat message, answers IPL cricket rules questions using a Gemini RAG agent over an in-memory vector store.
Email to Notion Knowledge Base with IMAP, Postgres Dedup and Telegram Alert
On a new IMAP email, deduplicates against Postgres, creates a Notion knowledge base page, and sends a Telegram alert.
RAG Chat Assistant with Claude, Supabase Vector Store, and Postgres Memory
On a chat message, answers questions with Claude using Supabase vector retrieval, OpenAI embeddings, and Postgres memory.
n8n Gallery 5781
On a WhatsApp message, answers via a Google Gemini agent using a Pinecone knowledge base built from Google Drive, logging to Google Sheets.
PDF to Vector RAG System: Mistral OCR, Weaviate Database and MCP Server
On form upload, OCRs PDFs with Mistral and indexes them into a Weaviate vector store, exposing retrieval through an MCP server.
AI Multi Source Agent with GPT 4, Perplexity Search, Supabase and Google Sheets
On a chat message, answers via an OpenAI agent that queries a Supabase vector store, Perplexity and Google Sheets, reranked with Cohere.
Chat with Documents Via RAG: Google Drive to GPT 5 with Supabase Vector Database
Embeds Google Drive documents into a Supabase vector store, then answers questions via an OpenAI agent across Telegram, WhatsApp, Slack and Gmail.
Vector Store
On a chat message, a Google Gemini agent retrieves context from a Supabase vector store and logs interactions to Google Sheets.
AI Powered Stock Analysis with Danelfin, Twelvedata and Alpha Vantage
On trigger, an AI agent researches stocks across live market APIs and a Supabase vector store, emailing OpenAI/OpenRouter analysis via Gmail and Telegram.
RAG Powered AI Voice Customer Support Agent (Supabase + Gemini + Elevenlabs)
On a webhook, answers customer queries using Google Docs and Supabase context with Vertex AI, returning a voice response.
Build a Glpi Knowledge Base RAG Pipeline with Google Gemini and PostgreSQL
On a chat message, retrieves GLPI knowledge from PGVector and answers using a Google Gemini agent with conversation memory.