Build Custom AI Agent with LangChain & Gemini (Self-Hosted) — n8n Workflow

Laag complexiteit⚡ Trigger4 knooppunten🏷️ Miscellaneous👁 4,410 weergavendoor shepard

Overzicht

Overview
This workflow leverages the LangChain code node to implement a fully customizable conversational agent. Ideal for users who need granular control over their agent's prompts while reducing unnecessary token consumption from reserved tool-calling functionality (compared to n8n's built-in Conversation Agent).

Setup Instructions
Configure Gemini Credentials: Set up your Google Gemini API key (Get API key here if needed). Alternatively, you may use other AI provider nodes.
Interacti

Gebruikte knooppunten

LangChain CodeSimple MemoryGoogle Gemini Chat Model

Workflow-voorvertoning

👇 Prompt Engineering

- Define agent personality and conversation structur

- ⚠️ Template must preserve `{chat_history}` and

Setup Instructions

1. Configure Gemini Credentials: Set up your Google Gem

👆 Interface Settings

Configure chat UI elements (e.g., title) in the `When C

👆 Model Selection

Swap language models through the `language model` input

👆 Memory Control

Adjust conversation history length in the `Store Conver

⚡

When chat message received

Google Gemini Chat Model

Store conversation history

Construct & Execute LLM …

4 nodes4 edges

Hoe het werkt

1
Trigger
De workflow start met een trigger-trigger.
2
Verwerking
Gegevens stromen door 4 knooppunten, connecting chattrigger, code, lmchatgooglegemini.
3
Uitvoer
De workflow voltooit zijn automatisering en levert het resultaat aan de geconfigureerde bestemming.

Knooppuntdetails (4)

LangChain Code

n8n-nodes-langchain.code

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

Hoe deze workflow te importeren

1Klik op de knop JSON downloaden rechts om het workflowbestand op te slaan.
2Open uw n8n-instantie. Ga naar Workflows → Nieuw → Importeren uit bestand.
3Selecteer het gedownloade bestand build-custom-ai-agent-with-langchain-gemini-self-hosted en klik op Importeren.
4Stel inloggegevens in voor elk serviceknooppunt (API-sleutels, OAuth, enz.).
5Klik op Workflow testen om te controleren of alles werkt, activeer het vervolgens.

Of plak rechtstreeks in n8n → Importeren uit JSON:

{ "name": "Build Custom AI Agent with LangChain & Gemini (Self-Hosted)", "nodes": [...], ...}

Integraties

chattriggercodelmchatgooglegeminimemorybufferwindow

Haal deze workflow op

Download en importeer met één klik

JSON downloaden Bekijken op n8n.io

Knooppunten4

Complexiteitlow

Triggertrigger

CategorieMiscellaneous

Gemaakt door

shepard

@shepard

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