# Chatbot with RAG and web search via local LLM with contextual memory
This automation template enables the creation of a secure, intelligent chatbot that answers user questions by combining access to internal knowledge (RAG) and real-time internet data. Powered by a local Ollama model, it ensures data privacy and full control over processing.
## Who it´s for
- Developers building AI assistants with local LLMs
- Companies needing secure chatbots with access to internal knowledge
- Analysts querying up-to-date internet data via chat interface
- IT specialists automating support with RAG integration
## What the automation does
- Processes incoming chat messages as triggers
- Activates a LangChain agent to decide between RAG or web search
- Uses Google Search via Bright Data for news or current events
- Retrieves answers from a vector-based RAG knowledge base for documentation queries
- Generates responses using a local Ollama model with conversation memory
## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on LangChain agent
- Integrations with RAG Database, Google Search API, Bright Data, and Local Ollama service
- Basic text instructions for setup and adaptation
## Requirements for setup
- Access to an n8n instance
- Configured local Ollama service with a supported model
- Vector-enabled RAG knowledge database
- Bright Data account with Google Search API access
- MCP Client for component communication
## Benefits and outcomes
- Full autonomy via local LLM inference
- Data confidentiality maintained within your infrastructure
- Accurate responses from both internal docs and fresh web sources
- Context-aware dialogue for natural user interaction
- Reduced load on support and analytics teams
- Scalable for enterprise use cases
## 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
chatbot with RAG
local LLM model
web search via chat
contextual dialogue processing
LangChain agent
Ollama local deployment
vector knowledge base
AI agent in chat
Bright Data integration
support automation
internal documentation lookup
context-aware responses
n8n workflow chatbot
secure chatbot
internet-enabled agent
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