AI Agents (LangGraph & RAG)
Geonix develops production-ready AI agents using agent orchestration, LangGraph, RAG, enterprise knowledge bases, APIs and business workflows to create AI systems that can reason through tasks, retrieve relevant information and take controlled actions.
Build AI Agents That Can Actually Work With Your Business
A conversational AI interface can answer questions. An AI agent can be designed to work through a task.
Geonix develops AI agents that can retrieve information, reason through defined workflows, interact with APIs, use business tools, and return results while operating within appropriate controls.
LangGraph for Complex Agent Workflows
For applications that require multi-step reasoning, state management, tool usage or controlled agent workflows, frameworks such as LangGraph can provide an architecture for orchestrating complex processes.
Geonix can design agent workflows around your specific business requirements rather than building generic chat interfaces.
RAG for Business Knowledge
Large language models do not automatically know your company's private information.
Retrieval-Augmented Generation allows applications to retrieve relevant information from approved business knowledge sources before generating responses.
This can be useful for internal knowledge systems, customer support, documentation, policy systems, research platforms and enterprise applications.
Connect AI to Your Tools
The most valuable AI agents often need access to more than a knowledge base.
They may need to query a CRM, retrieve an order, create a ticket, update a record, generate a document or trigger another workflow.
Geonix develops these integrations using APIs, tools and controlled workflows.
What's included
Frequently asked questions
What is an AI agent?
An AI agent is a software system designed to perform tasks using AI models, tools, information sources and defined workflows. Unlike a simple chatbot, an agent can be designed to retrieve information and interact with other systems.
What is RAG?
RAG, or Retrieval-Augmented Generation, is an approach where an AI application retrieves relevant information from a knowledge source and uses that information to generate a response.
What is LangGraph used for?
LangGraph can be used to build and orchestrate complex, stateful AI workflows involving multiple steps, tools, decisions and agents.
Can an AI agent connect to our CRM or ERP?
Yes. AI agents can be connected to business systems through APIs and controlled tool integrations.
Can AI agents operate without human approval?
Some workflows can be automated, but the appropriate level of autonomy depends on the business process and risk. Geonix can design human approval checkpoints for sensitive or high-impact actions.