AutomationFlows › AI & RAG › Talk to Your Sqlite Database with a Langchain AI Agent (memory Buffer Window)

Talk to Your Sqlite Database with a Langchain AI Agent (memory Buffer Window)

Original n8n title: Talk to Your Sqlite Database with a Langchain AI Agent 🧠💬 (memory Buffer Window)

Talk to your SQLite database with a LangChain AI Agent 🧠💬. Uses memoryBufferWindow, lmChatOpenAi, httpRequest, compression. Event-driven trigger; 13 nodes.

Event trigger★★★☆☆ complexityAI-powered13 nodesMemory Buffer WindowOpenAI ChatHTTP RequestCompressionRead Write FileAgentChat Trigger
AI & RAG Trigger: Event Nodes: 13 Complexity: ★★★☆☆ AI nodes: yes Added:

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

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About this workflow

    
Talk to your SQLite database with a LangChain AI Agent 🧠💬. Uses memoryBufferWindow, lmChatOpenAi, httpRequest, compression. Event-driven trigger; 13 nodes.

    
Source: https://github.com/tommyshum/n8n_template_library/blob/87d0b7db31db00fcf781424ca7d9e86f1c9a9e1b/templates/official/template_2292/workflow.json — original creator credit. Request a take-down →

    
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