RAG & Knowledge Bases
800 Ergebnisse — 125 herunterladbare Workflow-Dateien, 675 quellenverknüpfte n8n-Referenzen
Structured Drive RAG Pipeline
On a chat message, embeds Google Drive documents into Pinecone and returns structured OpenAI answers.
Chat with GitHub Openapi Specification Using RAG (Pinecone and OpenAI)
On chat message, answers questions about a GitHub OpenAPI spec using an OpenAI agent over a Pinecone vector store.
Drive Docs Pinecone Chatbot
Loads Google Drive docs, embeds them into Pinecone, and answers chat questions with OpenAI retrieval QA.
Workflow Retrieval QA
On manual run, retrieves context from a source workflow and answers the query using OpenAI retrieval QA.
Create AI Ready Vector Datasets for Llms with Bright Data, Gemini & Pinecone
On manual run, fetches and extracts web content with Google Gemini, then embeds it and upserts the vectors into a Pinecone store.
Drive Document RAG With OpenAI
On manual run, loads Google Drive files, splits and embeds them into an in-memory vector store, and answers queries with OpenAI.
Drive Information Extraction Agent
On chat message, embeds Google Drive documents into Pinecone and extracts structured information with OpenAI.
Drive Document RAG Agent
On chat message, embeds Google Drive documents into Pinecone and answers via an OpenAI agent over the vector store.
OpenAI Retrieval QA Chain
On manual trigger, answers questions via an OpenAI retrieval-QA chain backed by a workflow retriever.
Limit with Textsplittertokensplitter
On a Notion update or chat, embeds documents into Supabase and answers questions with OpenAI retrieval-augmented generation.
⚡AI Powered YouTube Playlist & Video Summarization and Analysis
On a chat message, transcribes and summarizes YouTube videos with a Gemini agent, embedding results into a Qdrant vector store.
Google Docs — Google Sheets
On manual trigger, answers queries via a Gemini and OpenAI agent over a Pinecone vector store built from Google Docs, Sheets, and Drive.
Google Docs — OpenAI
On manual run, embeds documents into Qdrant, then generates content with Gemini and OpenAI and writes results to Google Docs.
Google Docs — Google Gemini
On manual run, indexes documents into Pinecone, then a Gemini agent retrieves context and writes outputs to Google Docs, Sheets, and Drive.
Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG
On a webhook, an OpenAI RAG agent over Qdrant answers questions, checks Google Calendar, and replies; indexes Google Drive docs.
Store Notion's Pages as Vector Documents into Supabase with Open — OpenAI
On a Notion page event, splits and embeds page content with OpenAI and stores it in a Supabase vector store.
Store Notion's Pages as Vector Documents into Supabase with Open
On a Notion page event, splits and embeds page content with OpenAI and stores it in a Supabase vector store.
Prod: Notion to Vector Store Dimension 768
On a Notion page event, splits page content and embeds it with Google Gemini into a Pinecone vector store.
Supabase RAG Chat Agent
Embeds documents into Supabase with OpenAI, then lets a chat-triggered agent answer questions using the Supabase vector store.
Drive Knowledge Base Chat Agent
When files are added to Google Drive, indexes them into Milvus with Cohere embeddings so an OpenAI chat agent answers questions.
WhatsApp RAG Assistant
On a WhatsApp message, an OpenAI agent answers using an in-memory vector store with conversation memory and replies via WhatsApp.
Emailreadimap with Email (IMAP) & Email (SMTP) — OpenAI
Reads IMAP email, classifies and summarizes it with OpenAI and DeepSeek over Qdrant and Google Drive docs, replying via SMTP and Gmail.
Email AI Auto responder. Summerize and send email — Email (IMAP)
Reads IMAP email, classifies and summarizes it with OpenAI using Qdrant and Google Drive documents, then sends a reply via SMTP.
Emailreadimap with Email (IMAP) & Email (SMTP)
On incoming IMAP email, classifies and answers it with OpenAI agents and a Qdrant knowledge base, replying through Gmail.