Gemini Chatbot with Memory & Langfuse Tracing

# Gemini chatbot with memory and Langfuse tracing for support and development teams

This automation processes incoming chat messages, generates context-aware responses using Google Gemini, and logs all interactions via Langfuse. Enables developers and product teams to deploy chatbots quickly with full observability of LLM calls and reasoning chains.

## Who it´s for
- Developers building chatbots with memory and LLM tracing
- ML teams needing to log model interactions for analysis
- Startups deploying low-cost, fast-to-launch chatbots on Gemini
- Product managers testing agent prototypes without coding

## What the automation does
- Receives incoming chat messages via n8n trigger node
- Passes text to a LangChain-based agent with memory buffer for conversation context
- Generates responses using Google Gemini, considering message history
- Logs every LLM call in Langfuse for prompt auditing and performance analysis
- Sends replies back to the original chat interface
- Supports real-time mode and session-based context reuse

## What´s included
- Ready-to-use n8n workflow with LangChain and Google Gemini integration
- Trigger logic for chat_message_received events
- Integrations with Google Palm API and Langfuse
- Basic setup and adaptation guide

## Requirements for setup
- n8n instance with workflow execution access
- Google Palm API (Gemini) key with model usage permissions
- Langfuse account for tracing and analytics
- Chat interface integrated with n8n

## Benefits and outcomes
- Reduces support team workload by automating common queries
- Enables deep analysis of response quality and agent reasoning through Langfuse
- Fast iteration on model parameters (temperature, output length, etc.)
- Maintains conversation context across messages without custom code
- Full transparency of all LLM calls for audit and optimization
- Minimizes time to build a functional chatbot MVP

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat