RAG & Knowledge Bases
800 results — 125 downloadable workflow files, 675 source-linked n8n references
Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and Open
On a chat message, a Gemini-powered agent answers travel queries using Couchbase vector search over OpenAI-embedded documents.
Google Gemini to Google Drive Automation
Embeds new Google Drive files into Pinecone using Gemini; a chat agent answers questions from the vector store.
Personalized AI Tech Newsletter Using RSS, OpenAI and Gmail
On schedule, reads RSS feeds, embeds articles into a vector store, and emails an OpenAI-curated personalized tech newsletter via Gmail.
GitHub Repo RAG Agent
Indexes GitHub files into a Qdrant vector store with OpenAI embeddings, then answers chat queries via a retrieval agent.
Gmail Email Vector Store With Postgres
On new Gmail messages, embeds content with Ollama into a Postgres pgvector store and sends an AI-drafted Gmail reply.
OpenAI Qdrant Sheets Pipeline
On manual run, embeds web content with OpenAI into a Qdrant vector store, extracts structured fields, and logs them to Google Sheets.
Rag:context Aware Chunking
On manual run, loads Google Drive documents, splits them into context-aware chunks, embeds with Gemini, and stores vectors in Pinecone.
Milvus RAG Chatbot
On a chat message, scrapes and chunks web content, embeds it with OpenAI into a Milvus vector store, and answers queries.
OpenAI Qdrant Knowledge Indexer
On manual run, scrapes web pages, embeds the content with OpenAI into a Qdrant vector store, extracts fields, and logs results to Google Sheets.
GitHub Repo RAG Chat Agent
Indexes GitHub files into a Qdrant vector store, then answers chat queries via an OpenAI agent using retrieval and memory.
Gemini RAG Question Answering
On webhook, retrieves context from a Qdrant vector store and answers questions with Google Gemini.
Zendesk Support RAG Agent
On chat message, an OpenAI agent retrieves knowledge from Qdrant and Google Drive to draft Zendesk ticket replies.
Website RAG Agent With Milvus
On chat message, scrapes web pages, embeds them into Milvus with OpenAI, and answers via a retrieval agent.
MCP Qdrant Document Ingestion
Exposes an MCP tool that ingests and chunks documents into Qdrant using OpenAI embeddings for retrieval.
OpenAI Milvus RAG Chatbot
On a chat message, embeds scraped web content into Milvus with OpenAI and answers questions via retrieval QA.
OpenAI + Google Drive AI Workflow — Zendesk
On a chat message, an OpenAI agent answers using a Qdrant knowledge base built from Google Drive files and creates Zendesk tickets.
Hacker News Insight Extractor
On manual run, fetches Hacker News items, embeds them into Qdrant, and uses OpenAI to extract structured data into Google Sheets.
HTML Scrape Embedding Extractor
On manual run, scrapes and splits HTML content, embeds it into Qdrant, and uses OpenAI to extract details into Google Sheets.
Document Embedding Extraction Pipeline
On trigger, loads and splits documents, embeds them into Qdrant, then uses OpenAI to extract fields and log them to Google Sheets.
Slack — Google Drive
On a Slack message, an AI agent answers from Qdrant-indexed Google Drive docs using OpenAI and Anthropic, replying in Slack.
RAG & Genai App with WordPress Content — OpenAI
On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.
RAG & Genai App with WordPress Content
On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.
FTP Document Embedding To Qdrant
On manual trigger, loads files from FTP, embeds them with OpenAI, and stores the vectors in Qdrant in batches.
Drive Document Vector Indexer
On manual run, loads and edits Google Drive files, then embeds documents with OpenAI into an in-memory vector store.