RAG & Knowledge Bases
800 results — 125 downloadable workflow files, 675 source-linked n8n references
Customer Support & Lead Collection Chatbot with RAG, GPT 4o & Telegram
On a chat message, answers questions from a Pinecone knowledge base with an OpenAI agent, logging leads to Google Sheets and notifying Telegram.
RAG Agent
On new Google Drive files or a schedule, embeds documents into a Supabase vector store and answers chat queries via an OpenAI RAG agent.
AI Email Support Responder
On a new Gmail email, classifies the request and an AI agent drafts a Pinecone-grounded reply sent via Gmail.
Automated Gmail Support Agent with Gemini 2.5, RAG & Cohere Reranking
On a new Gmail email, a Gemini agent answers support questions using Pinecone RAG with Cohere reranking and replies via Gmail.
Create, update posts 🛠️ WordPress tool MCP server 💪 all 12 operations
Exposes an MCP server letting AI agents create, update, and manage WordPress posts across all twelve operations.
WeatherTrax MCP Agent Demo
On manual run, an OpenAI agent fetches weather data through an HTTP request tool and returns a formatted result.
Telegram AI Chatbot Agent with Infranodus Graphrag Knowledge Base
On a Telegram message, an OpenAI agent answers using an InfraNodus GraphRAG knowledge base and replies on Telegram.
Create an Automated Customer Support Assistant with GPT 4o and Gohighlevel SMS
On a schedule, scrapes site content into an OpenAI vector store and answers customer SMS through GoHighLevel using a GPT agent.
Build an on Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama
On a new local file, embeds Kaggle documents into a Qdrant vector store with Ollama, then answers chat queries through a RAG agent.
AI Powered Excel Data Ingestion and Chat with Oracle Select AI
On a webhook upload, extracts Excel data into Oracle Database and answers natural-language questions via Oracle Select AI, responding to the webhook.
Prompt Hub
On a chat message, an OpenAI agent retrieves and saves prompts in Notion through linked tool workflows.
Semantic Cache with a Redis Vector Store
On a chat message, checks a Redis vector store for cached semantic matches before querying the OpenAI agent, embedding new responses via HuggingFace.
Email History RAG
On a chat message, indexes Gmail messages into a Qdrant vector store with OpenAI embeddings and answers questions through a retrieval agent.
Telegram AI Support Chatbot with Multi Modal Inputs
On Telegram messages, processes multi-modal inputs with OpenAI and replies using a Supabase RAG agent with Cohere reranking.
Reranks #1
Indexes Google Drive documents into a Supabase vector store and answers queries with a reranking OpenAI RAG agent, logging to Google Sheets.
Google Ads Tool MCP Server
Exposes Google Ads as an MCP server tool, letting AI agents query and manage campaigns on demand.
Tour Package Recomendation Database - Process Tour PDF
On manual trigger, loads tour PDFs from Google Drive, splits and embeds them with OpenAI, and indexes them in a Pinecone vector store.
Blog Research Agent
On a form submission, researches blog topics with an OpenRouter agent and writes structured results to Google Sheets.
Bubble MCP server
Exposes Bubble database operations as tools to AI agents through an MCP server trigger.
WhatsApp Group Chat with Your Vector Database — No Facebook Business Required
On an incoming WhatsApp webhook, answers questions with an OpenAI agent grounded in a Pinecone store indexed from Google Drive files.
Perform Google, Bing, Yandex Search with Bright Data MCP Agent & Google Gemini
On manual trigger, runs Google, Bing, and Yandex searches via a Bright Data MCP agent and extracts structured results with Google Gemini.
Telegram AI Chatbot with Document Based Answers Using OpenAI and Pgvector RAG
On new Google Drive files, embeds documents into a Postgres pgvector store and answers Telegram chat questions through an OpenAI RAG agent with Postgres memory.
Build an AI It Support Agent with Azure Search, Entra ID & Jira
On a chat message, answers IT support questions with a Gemini agent that searches knowledge sources and raises Jira tickets.
Build your own PostgreSQL MCP server (visuals capable)
Exposes Postgres as an MCP server, letting an Anthropic-powered chat agent query the database and return results.