RAG & Knowledge Bases
800 sonuç — 125 indirilebilir workflow dosyası, 675 kaynağa bağlı n8n referansı
Complete RAG System with Autoupdate Documents Using Qdrant
Embeds Google Drive documents into Qdrant via OpenAI, then answers chat queries using Google Gemini retrieval-augmented generation.
Google Drive RAG Pipeline
On new Google Drive files, extracts and embeds content with OpenAI, then stores vectors in Supabase for chat retrieval.
Google Drive RAG Chat Agent
On new Google Drive files, embeds content into Supabase; on chat, an OpenAI and Gemini agent answers from the vector store.
Scheduled Vector Search Logger
On a schedule, queries a vector database, processes the results with OpenAI, and logs output to AWS CloudWatch.
Website AI Customer Support Chatbot with Google Sheets Knowledge Base
On each chat message, a Groq-powered agent answers customer questions from a Google Sheets knowledge base, retaining context with conversation memory.
Dynamic MongoDB Knowledge Base Chatbot with OpenAI GPT
On each chat message, an OpenAI GPT agent answers from a MongoDB knowledge base, retaining context with conversation memory.
AI Chatbot with OpenAI GPT 4.1 Mini and Supabase Database Knowledge Base
On each chat message, an OpenAI GPT agent answers from a Supabase knowledge base, retaining context with conversation memory.
Build RAG Chatbot for Your Website Using Supabase
On chat message, retrieves Supabase-embedded website content and answers via an OpenAI agent with Postgres chat memory.
Multi Functional Discord BOT: Llama AI, Image Generation & Knowledge Base
On Discord messages, answers with an Ollama agent using web, Wikipedia, and knowledge-base tools, replying in Discord.
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On chat message, routes queries through a Mistral RAG agent with workflow tools and returns answers via webhook.
Drive Files to Supabase RAG
On new Google Drive files, splits and embeds content with OpenAI, stores vectors in Supabase, and answers chat queries via an agent.
Build Document RAG System with Kimi K2, Gemini Embeddings and Qdrant
On manual trigger, embeds documents with Gemini into Qdrant, then answers queries via an MCP agent using retrieved context.
Danelf API
On an MCP client request, calls an external HTTP API and returns the response for an AI agent to use.
VoiceCall Travel Agent
On a webhook call, an OpenAI agent answers travel queries using a Pinecone vector store and responds to the caller.
Create a smart chatbot using OpenAI GPT and Airtable knowledge base
On a chat message, an OpenAI agent answers questions using an Airtable knowledge base and conversation memory.
Document Based AI Chatbot with RAG, OpenAI and Cohere Reranker
On a chat message, answers questions using an OpenAI agent over Google Drive documents indexed in Supabase and reranked by Cohere.
AI Powered Customer Support: Email, Knowledge Base & Human Escalation Automation
On a new Gmail email, classifies and answers support requests using a Pinecone knowledge base, logging to Google Sheets and escalating to Slack.
Auto Enrich New CRM Companies with ChatGPT Web Research Via Tavily
On a webhook, enriches new CRM companies by running OpenAI web research through Tavily and returning the findings.
Dynamic Website Assistant with DeepSeek AI, Pinecone Vectorstore & Site Based Routing
On a webhook chat, routes by site and answers via a Pinecone-backed OpenRouter agent with Postgres memory, responding through the webhook.
Query your database using natural language
On a chat message, an OpenAI agent translates natural-language questions into MySQL queries and returns the answers.
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Indexes Google Drive documents into an in-memory vector store and answers webhook queries with an OpenAI agent.
Chat with XML File
On a chat message, an OpenAI agent fetches and parses XML data over HTTP to answer questions about the file.
Multi Modal AI Agent Assistant (GPT 4o & MongoDB) with Gmail Tool Use
On a Telegram message, an OpenAI agent with MongoDB memory answers, sends email via Gmail, and replies on Telegram.
Automated Email Classification & Response System with Groq AI and Pinecone
On a new IMAP email, classifies and analyzes it with Groq using Pinecone context, then sends an AI-drafted SMTP reply.