RAG & Knowledge Bases
800 Ergebnisse — 125 herunterladbare Workflow-Dateien, 675 quellenverknüpfte n8n-Referenzen
F1 Race Winner Prediction Using Real-Time and Historical Data
On a schedule, fetches F1 data via HTTP, predicts the race winner with an OpenAI agent and vector retrieval, then logs to Postgres, Slack, and Google Sheets.
AI Chat Response Generation with Google Sheets Context and Pinecone RAG Memory
On a chat message, retrieves Pinecone and Google Sheets context to generate OpenAI replies, indexing Google Drive documents into vectors.
LinkedIn Chat Bot
On a chat message, runs an OpenAI agent that reads OneDrive files and posts responses to Telegram.
Build a RAG System for PDF Documents with Google Drive, Unstructured, and OpenAI
On new Google Drive PDFs, embeds content into Pinecone and answers chat questions with an OpenAI RAG agent.
hybridsearchDemo
On manual or chat trigger, runs hybrid search queries against an Oracle database and processes the results with code.
AI Study Assistant with RAG Google Gemini with Drive & Supabase Vector Search
On a chat message, a Gemini RAG agent answers study questions using Supabase vector search over Google Drive documents with Postgres memory.
Create RAG Vector Database from Google Drive Documents Using Gemini & Supabase
When triggered, loads Google Drive documents, embeds them with Google Gemini, and stores vectors in a Supabase Postgres database for RAG.
Zendesk -> Pinecone -> AI agent -> Slack
On a schedule, embeds Zendesk tickets into Pinecone and an OpenAI agent answers queries, posting responses to Slack.
Advanced Multi Source AI Research with Bright Data & OpenAI
On a webhook request, runs an OpenAI agent with external tools to research multiple sources, caches in Redis, and delivers results via Slack and email.
Formal Gmail Draft Updated
On a new Gmail message, retrieves context from a Pinecone vector store and drafts a formal OpenAI-generated reply in Gmail.
Development Done Chat with PDF Via Telegram
On a Telegram message, answers PDF questions using Gemini embeddings and Pinecone vector retrieval, replying back in Telegram.
Langfuse-tracing
When triggered by another workflow, fetches n8n execution data and posts deduplicated traces to Langfuse via HTTP in batches.
AI industry trend monitor 24/7 across X, Gmail, and websites using GPT-5
On a schedule, scrapes X and websites via Airtop and Perplexity, has a GPT agent summarize AI trends, logs them to Google Sheets, and emails a digest.
RAG System V2 - Update Doc
On a Google Drive file update, clears old Supabase vectors, re-embeds the document with OpenAI, and upserts fresh vectors back to Supabase.
RAG System V2 - Upload Doc
On a new Google Drive file, extracts and summarizes its content, generates OpenAI embeddings, and stores the vectors in Supabase.
Content Generator
On a schedule, ingests RSS feeds into a MongoDB vector store and generates articles published to WordPress and X.
Run Bulk RAG Queries from CSV with Lookio
On a form submission, runs bulk RAG queries from an uploaded CSV via Lookio and returns aggregated results.
Instagram Lead Generation
On manual run, scrapes Instagram leads via HTTP, extracts details with OpenAI, and stores them in Postgres.
Daily UPSC Current Affairs Analysis from The Hindu to Google Sheets
On a schedule, scrapes The Hindu, analyzes UPSC current affairs with Google Gemini, and logs them to Google Sheets.
Real Time Lead Qualification, Scoring & CRM Integration System Using Jotform
On a Jotform submission, an OpenAI agent scores and qualifies the lead, logs it to Google Sheets, and emails via Gmail.
Scheduled YouTube Transcription with De Duplication Using Transcript.io and Supabase
On a schedule, reads YouTube RSS feeds, transcribes new videos via HTTP, deduplicates against Supabase, and stores the transcripts.
🔥 X & Reddit tech trend analysis with Gemini AI for Notion & Telegram
On a schedule, a Google Gemini agent analyzes Reddit and X tech trends, saves findings to Notion, and alerts via Telegram.
How to Connect Google Ecosystem with ChatGPT App & OpenAI Agent Builder (Using MCP)
Via an MCP trigger, exposes Gmail, Google Calendar, Drive, Docs, Sheets, and Slides as tools for a ChatGPT agent.
Jira Vector - Register Minimal
On a schedule, fetches Jira issues, embeds them with OpenAI, and indexes them into a Pinecone vector store.