@n8n/n8n-nodes-langchain.memory Buffer Window

Langchain AI Agent for Ticker Symbol Processing with Memory

Memory Buffer
Complex Trigger

This n8n workflow orchestrates an AI agent using Langchain nodes, specifically designed for processing information related to a 'Ticker symbol'. It incorporates a Window Buffer Memory node, which is crucial for maintaining conversational context and enabling the AI agent to recall previous interactions within a session. This ensures more coherent and context-aware responses over a series of messages. The AI Agent node dynamically receives a ticker symbol as input, allowing it to perform operations or provide insights based on this specific financial identifier. This powerful combination is suitable for applications such as building interactive financial assistants, performing automated market data queries, or any scenario where an AI needs to understand and respond intelligently to ticker-related information while retaining short-term conversational memory. The workflow provides a robust foundation for AI-driven data processing.

45
Nodes
17
Services
3
Categories
Complex
Type

Build intelligent financial assistants instantly using Langchain's memory buffer to process ticker symbols, boosting productivity and delivering context-aware insights.

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๐Ÿ“„ File Details

0898_Code_Schedule_Create_Scheduled.json
Code
09/04/2025
โšก
Ready to Import

Just upload and configure

๐Ÿ”ง
Production Ready

Tested and optimized

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Services & Integrations

Memory Buffer
AI Agent
Sticky Note
LLM Chain
LLM Chain
Html
Email Send
Code
LLM Chain
Set
Http Request
Execute Workflow Trigger
Merge
LLM Chain
Schedule Trigger
LLM Chain
Form Trigger
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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows โ†’ Import and select the JSON file.

3

Configure Credentials

Set up your Memory Buffer and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#code
#@n8n/n8n-nodes-langchain.memory-buffer-window
#@n8n/n8n-nodes-langchain.agent
#sticky-note
#complex
#code
#development
#workflow-automation
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