AutomationFlowsRecipes › Agent → In-Memory Vector Store

Agent → In-Memory Vector Store

When you need Agent and In-Memory Vector Store talking to each other, here are the 56 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Agent with In-Memory Vector Store

AI & RAG

Final. Uses chatTrigger, agent, n8n-nodes-upstage, httpRequest. Chat trigger; 55 nodes.

Chat Trigger, Agent, N8N Nodes Upstage +10
AI & RAG

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +7
AI & RAG

This workflow transforms your Telegram bot into J.A.R.V.I.S., a powerful, multimodal AI assistant. It can understand and process text, voice messages, images, and documents. The assistant can search t

Telegram Trigger, Telegram, Memory Buffer Window +11
AI & RAG

AI Multi-Document Analyzer with Smart Recommendations & Reporting

Crypto, Agent, OpenAI Chat +8
AI & RAG

This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built by scraping the company's website.

In-Memory Vector Store, OpenAI Embeddings, Document Default Data Loader +8
AI & RAG

This workflow automates intellectual property (IP) monitoring, conflict detection, and governance reporting for IP counsel, legal operations teams, and compliance officers. It eliminates the manual ef

Agent, OpenAI Chat, Memory Buffer Window +9
AI & RAG

This workflow implements a self-healing Retrieval-Augmented Generation (RAG) maintenance system that automatically updates document embeddings, evaluates retrieval quality, detects embedding drift, an

HTTP Request, Postgres, OpenAI Embeddings +5
AI & RAG

This workflow automates end-to-end e-commerce order processing from intake through fulfillment by orchestrating multiple AI-powered validation stages and external system integrations. Designed for e-c

HTTP Request, Agent, OpenAI Chat +10
AI & RAG

This workflow automates academic research processing by routing queries through specialized AI models while maintaining contextual memory. Designed for researchers, faculty, and graduate students, it

HTTP Request, Agent, OpenAI Chat +7
AI & RAG

Boost your productivity with this AI-powered email and calendar assistant:

Chat Trigger, OpenAI Chat, Memory Buffer Window +13
AI & RAG

Every day at 8 AM, the workflow automatically retrieves the latest F1 data—including driver standings, qualifying results, race schedules, and circuit information. All sources are merged into a unifie

HTTP Request, Agent, OpenAI Chat +9
AI & RAG

This workflow is designed for Business Analysts, Project Managers, and Operations Teams who need to automate the creation, tracking, and delivery of Business Requirements Documents (BRDs) from submitt

Form Trigger, In-Memory Vector Store, Document Default Data Loader +8
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Telegram Trigger, HTTP Request, Agent +9
AI & RAG

Scheduled triggers initiate automated contract reviews. The system fetches documents from cloud storage and email, then uses AI to extract key terms, obligations, and compliance requirements. Multi-mo

Gmail Trigger, HTTP Request, Text Splitter Recursive Character Text Splitter +8
AI & RAG

Webhook Schedule. Uses manualTrigger, stickyNote, agent, lmChatOpenAi. Event-driven trigger; 34 nodes.

Agent, OpenAI Chat, Memory Buffer Window +7
AI & RAG

https://n8n-tools.streamlit.app/

Agent, OpenAI Chat, Memory Buffer Window +7
AI & RAG

This workflow automates academic and professional plagiarism detection by processing multi-modal submissions — documents, audio recordings, and images,through specialized AI agents. It targets educato

OpenAI, In-Memory Vector Store, OpenAI Embeddings +5
AI & RAG

Based on the workflow image, here is the complete n8n template submission:

Data Table, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +8
AI & RAG

This workflow automates player segmentation and game economy optimisation using a multi-agent AI architecture, targeting game designers, product managers, and data teams in mobile, PC, or online gamin

Agent, OpenAI Chat, Output Parser Structured +6
AI & RAG

This workflow allows users to send any newspaper or article link to a Telegram bot. The workflow then: Validates the URL Scrapes the webpage (title, description, full text, images, OG metadata) Proces

Telegram, Output Parser Structured, OpenAI Chat +6
AI & RAG

<h2>📧 Analyze, classify, and summarize emails using RAG (automatic taxonomy learning)</h2>

OpenAI Chat, Gmail Trigger, Google Sheets +7
AI & RAG

Building Your First Whatsapp Chatbot. Uses whatsAppTrigger, lmChatOpenAi, memoryBufferWindow, toolVectorStore. Event-driven trigger; 28 nodes.

WhatsApp Trigger, OpenAI Chat, Memory Buffer Window +8
AI & RAG

This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions.

WhatsApp Trigger, OpenAI Chat, Memory Buffer Window +8
AI & RAG

This workflow turns your WhatsApp number into an intelligent AI-powered Sales Agent that answers product queries using real data extracted from a PDF brochure. It loads a product brochure via HTTP Req

WhatsApp Trigger, OpenAI Chat, Memory Buffer Window +8

See more Agent workflows · In-Memory Vector Store workflows

FAQ

How do I trigger a In-Memory Vector Store action from Agent?

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

Do I need both a Agent and a In-Memory Vector Store 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 Agent → In-Memory Vector Store 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.