🧠 RAG-Based Customer Support Agent (GPT-5 + Telegram) Description:
I've created an intelligent Travel Itinerary Planner that connects a Lovable front-end UI with a smart backend powered by n8n, Pinecone, and OpenAI to deliver personalized tour packages based on natur
📺 Full walkthrough video: https://youtu.be/Z_l_T22px3U
🛠 GPT-5 + Pinecone-Powered Slack Auto-Responder — Real-Time, Context-Aware Replies for IT & Engineering Teams
Chat. Uses readWriteFile, vectorStoreSupabase, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 10 nodes.
RAG_answ_sub. Uses vectorStorePGVector, embeddingsOpenAi, agent, toolVectorStore. Event-driven trigger; 10 nodes.
ingest_RAG. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 9 nodes.
Fitnest ChatBot. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 9 nodes.
🤖RAG Agent Demo. Uses chatTrigger, lmChatOpenAi, memoryPostgresChat, vectorStoreSupabase. Chat trigger; 8 nodes.
Bella Vista Customer Bookings Support. Uses chatTrigger, agent, lmChatOpenAi, embeddingsOpenAi. Chat trigger; 8 nodes.
chat rag webUI. Uses agent, lmChatOpenAi, memoryPostgresChat, vectorStoreSupabase. Webhook trigger; 8 nodes.
rag_chat_bot. Uses lmChatOpenAi, chainLlm, retrieverVectorStore, vectorStorePinecone. Chat trigger; 8 nodes.
Chat with Pinecone RAG. Uses agent, lmChatOpenAi, memoryBufferWindow, toolVectorStore. Webhook trigger; 8 nodes.
AI Workflow Knowledge Ingestion Pipeline. Uses vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader, googleDriveTrigger. Event-driven trigger; 7 nodes.
SupaBase. Uses manualTrigger, googleDrive, vectorStoreSupabase, documentDefaultDataLoader. Event-driven trigger; 6 nodes.
Company Knowledgebase. Uses googleDrive, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 6 nodes.
pd_automacao_n8n_fluxo_rag. Uses googleDrive, documentDefaultDataLoader, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 6 nodes.
FPCRequirementAnalyzer. Uses executeWorkflowTrigger, agent, lmChatOpenAi, vectorStorePGVector. Event-driven trigger; 6 nodes.
KB. Uses formTrigger, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 5 nodes.
vectorstore_insert. Uses vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 5 nodes.
Knowledge Base Upload. Uses vectorStoreQdrant, documentDefaultDataLoader, textSplitterTokenSplitter, embeddingsOpenAi. Event-driven trigger; 5 nodes.
Update Bella Vista KB. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStorePGVector. Event-driven trigger; 4 nodes.
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FAQ
How many n8n OpenAI Embeddings workflows are in the catalog?
622 n8n workflows in AutomationFlows currently use the OpenAI Embeddings integration — triggers, actions, or both.
How do I connect OpenAI Embeddings in n8n?
After importing the workflow JSON, n8n will prompt for OpenAI Embeddings credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most OpenAI Embeddings workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.