AutomationFlowsRecipes › HTTP Request → Toolvectorstore

HTTP Request → Toolvectorstore

When you need HTTP Request and Toolvectorstore talking to each other, here are the 63 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair HTTP Request with Toolvectorstore

AI & RAG

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

Postgres, Crypto, Redis +13
AI & RAG

This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle

Chat Trigger, Memory Postgres Chat, Tool Workflow +20
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

This workflow automates patient communication for medical clinics using the WhatsApp Business API. It supports appointment booking, rescheduling, service inquiries, follow-ups, and document submission

Google Sheets, Data Table, Data Table Tool +12
AI & RAG

Who is this for? This workflow is ideal for HR teams, startups, and enterprises that want to handle employee interactions through WhatsApp and automate responses using LLM (OpenAI) and intelligent rou

WhatsApp Trigger, OpenAI, OpenAI Chat +13
AI & RAG

This workflow automates multi-channel AI-driven sales engagement for lead qualification, service information delivery, and consultation booking. It integrates WhatsApp, Facebook Messenger, Instagram D

Agent, OpenAI Embeddings, OpenAI Chat +11
AI & RAG

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG

Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 nodes.

Telegram Trigger, Agent, OpenAI Chat +12
AI & RAG

Generate Exam Questions. Uses manualTrigger, vectorStoreQdrant, httpRequest, embeddingsOpenAi. Event-driven trigger; 37 nodes.

Qdrant Vector Store, HTTP Request, OpenAI Embeddings +12
AI & RAG

This Workflow simulates an AI-powered phone agent with RetellAI with two main functions: 📅 Appointment Booking – It can schedule appointments directly into Google Calendar. 🧠 RAG-based Information Ret

OpenAI Chat, Output Parser Structured, Qdrant Vector Store +10
AI & RAG

This workflow automates the creation of exam questions (both open-ended and multiple-choice) from educational content stored in Google Docs, using AI-powered analysis and vector database retrieval

Qdrant Vector Store, HTTP Request, OpenAI Embeddings +12
AI & RAG

AI Phone Agent with RetellAI. Uses lmChatOpenAi, outputParserStructured, vectorStoreQdrant, embeddingsOpenAi. Webhook trigger; 36 nodes.

OpenAI Chat, Output Parser Structured, Qdrant Vector Store +10
AI & RAG

Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +16
AI & RAG

This workflow is a complete AI-powered customer support automation for e-commerce businesses.

Qdrant Vector Store, HTTP Request, Google Drive +12
AI & RAG

This n8n workflow implements a fully automated Retrieval-Augmented Generation (RAG) pipeline powered by Google Drive, OpenAI embeddings, and Pinecone.

Pinecone Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG. Uses googleCalendar, lmChatOpenAi, chainLlm, vectorStoreQdrant. Webhook trigger; 34 nodes.

Google Calendar, OpenAI Chat, Chain Llm +9
AI & RAG

Voiceflow is a no-code platform that allows you to design, prototype, and deploy conversational assistants across multiple channels—such as chat, voice, and phone—with advanced logic and natural langu

Google Calendar, OpenAI Chat, Chain Llm +9
AI & RAG

This workflow implements a complete Voice AI Chatbot system for Wordress that integrates speech recognition, guardrails for safety, retrieval-augmented generation (RAG), Qdrant vector search, and audi

OpenAI Chat, Memory Buffer Window, Tool Calculator +10
AI & RAG

Automate AI-Powered RAG System with Contextual Q&A, Google Sheets Integration, and Glide Frontend—Powered by n8n, OpenAI, Supabase, and Google Apps Script.

Google Calendar, OpenAI Chat, Chain Llm +9
AI & RAG

Ai Agent To Chat With Files In Supabase Storage. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, extractFromFile. Event-driven trigger; 33 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7

See more HTTP Request workflows · Toolvectorstore workflows

FAQ

How do I trigger a Toolvectorstore action from HTTP Request?

Most workflows in this list use either a HTTP Request webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Toolvectorstore nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a HTTP Request and a Toolvectorstore account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these HTTP Request → Toolvectorstore workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.