RAG & Knowledge Bases
800 sonuç — 125 indirilebilir workflow dosyası, 675 kaynağa bağlı n8n referansı
MCP-Connected AI Chat Agent
On a chat message, an OpenAI agent with conversation memory answers using connected MCP client tools.
AI Voice Chat Agent with Elevenlabs and Infranodus Graph RAG Knowledge
On a webhook request, an OpenAI and Gemini agent queries external APIs via HTTP and returns the answer through the webhook.
Google Docs, Supabase & Telegram Automation
On a Telegram or chat message, an OpenRouter LLM chain answers using Google Docs content stored in Supabase.
OpenAI, Anthropic & Google Drive Automation
On a chat message, retrieves from a Supabase vector store with Cohere reranking and answers via Anthropic, indexing Google Drive files with OpenAI embeddings.
WhatsApp RAG Chatbot with Supabase, Gemini 2.5 Flash, and OpenAI Embeddings
On a WhatsApp message, retrieves context from a Supabase vector store using OpenAI embeddings and replies via Google Gemini.
Template Supabase Postgres
On a chat message, indexes Google Drive documents into a Supabase vector store and answers questions via an OpenAI RAG agent.
OpenAI, Google Drive & Supabase Automation
On a Google Drive file change, indexes content into a Supabase vector store and answers Telegram messages via an OpenAI agent.
Simple RAG
On a form upload, embeds documents into Pinecone, then answers chat questions via an OpenAI agent with Cohere reranking.
Enables updates to documents in RAG
On manual trigger, syncs Google Drive files into a Qdrant vector store, then answers chat questions via Google Gemini retrieval QA.
Google Docs Chat Knowledge Agent
On a chat message, an OpenAI agent answers questions using a MongoDB vector store built from Google Docs.
Document Retrieval Chat Agent
On chat input, embeds documents into a vector store and answers questions with an OpenAI retrieval agent.
Legal Assistant Agent
On a Telegram message, answers legal questions with an OpenAI agent that retrieves context from a Pinecone vector store, replying via Telegram.
Postgres to OpenAI Automation
On a chat message, ingests files and runs an OpenAI agent over a Postgres vector store, summarizing content and responding via webhook.
Google Sheets, Google Drive & Slack Automation
On a Slack message, an Azure OpenAI agent retrieves from Pinecone and Google Drive files, logs to Google Sheets, and replies in Slack.
Groq Document Q&A Chatbot
On a chat message, answers questions over loaded documents using an in-memory vector store, Cohere embeddings, and Groq.
Telegram Docs AI Assistant
On a Telegram message, an OpenAI agent with memory queries Google Docs and replies via Telegram.
AI Chatbot Agent: a Panel of Experts using InfraNodus Graph RAG Knowledge
On a chat message, an OpenAI panel-of-experts agent queries an external graph-RAG knowledge API to answer with conversational memory.
Slack messages update to Pinecone
On a Slack message, an Azure OpenAI agent embeds content into Pinecone and logs to Google Sheets, replying in Slack.
Telegram Docs Q&A Agent
On a Telegram message, an OpenAI agent answers from a MongoDB vector store of Google Docs and replies via Telegram.
Auto Respond to Gmail Enquiries Using GPT 4o, Dumpling AI & Langchain Agent
On a new Gmail email, an OpenAI agent filters enquiries and sends an auto-reply via Gmail using an HTTP tool.
Email Triage Calendar And Telegram Agent
On a new Gmail email, classifies it with OpenAI, drafts replies, creates Google Calendar events, and notifies via Telegram.
Turn Your Google Drive into an AI Powered Internal Knowledge Base with Semantic Search
Indexes Google Drive documents into a Pinecone vector store and answers semantic-search queries via webhook using OpenAI.
Voice AI Chatbot with Document Retrieval & Guardrails for WordPress
On a webhook chat request, an OpenAI agent answers from a Qdrant store with guardrails, ingesting Google Drive docs, replying via webhook.
Universal Digital Device Support Assistant
On a webhook chat request, an OpenAI agent answers device-support questions from a Pinecone knowledge base and responds via webhook.