Based in Sydney, Brisbane, and Melbourne, we build production RAG systems, complex chains, and multi-agent workflows with LangChain and LangGraph. Whether you're moving a prototype to enterprise or starting fresh, our team delivers LLM applications that work at scale.
Production retrieval-augmented generation with advanced chunking strategies, hybrid search, re-ranking, and evaluation frameworks that deliver accurate answers.
Build autonomous agents with tool use, memory, and planning capabilities. We design agents that handle real business tasks reliably with proper guardrails.
Design and implement stateful multi-agent workflows with LangGraph. Complex branching logic, human-in-the-loop approvals, and persistent state management.
Instrument your LLM applications with LangSmith for tracing, evaluation, and monitoring. Debug chains, measure quality, and optimise performance in production.
We've been building with LangChain since its early days and have shipped production RAG and agent systems for Australian enterprises.
We've built RAG systems that handle millions of documents across financial services, legal, and government. We know what it takes to go from demo to production.
We adopted LangGraph early for complex multi-agent orchestration. We build stateful workflows that handle branching, retries, and human approvals in enterprise settings.
We design applications that aren't locked to a single provider. Swap between OpenAI, Anthropic, Google, or open-source models as your needs evolve.
Every LangChain application we build includes evaluation suites. We measure retrieval quality, answer accuracy, and agent reliability before going live.
Our developers use AI tools daily and understand LLM capabilities and limitations firsthand. We build with the framework, not against it.
Senior LangChain developers based in Sydney, Melbourne, and Brisbane. On-site workshops and face-to-face collaboration when you need it.
Yes. Our LangChain development team is based across Sydney, Brisbane, and Melbourne. We work on-site and remotely to build, deploy, and optimise LLM applications for businesses across Australia.
LangChain accelerates development significantly for RAG systems, agent workflows, and multi-step chains. It provides battle-tested components for retrieval, memory, and tool use. We recommend LangChain for most LLM applications and only go custom when you have very specific performance or architecture requirements.
Our production RAG systems typically achieve 90%+ relevance accuracy through advanced chunking strategies, hybrid search, re-ranking, and evaluation frameworks. We measure and optimise retrieval quality before going live, and provide ongoing monitoring to maintain accuracy as your data changes.
Yes. LangChain supports Azure OpenAI natively, and most of our enterprise LangChain projects use Azure OpenAI for its enterprise security, Australian data residency, and SLA guarantees. We also work with Anthropic Claude, Google Gemini, and open-source models depending on your requirements.
A focused RAG proof-of-concept starts from $25,000. Production LangChain applications with LangGraph orchestration, evaluation suites, and monitoring typically range from $50,000 to $200,000. Contact our LangChain team in Sydney, Brisbane, or Melbourne for a free scoping call.
Get in touch with our LangChain consultants in Sydney, Brisbane, or Melbourne to discuss your LLM application project.
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