Our LangChain Expertise
RAG Implementation
Production retrieval-augmented generation with advanced chunking strategies, hybrid search, re-ranking, and evaluation frameworks that deliver accurate answers.
LangChain Agent Development
Build autonomous agents with tool use, memory, and planning capabilities. We design agents that handle real business tasks reliably with proper guardrails.
LangGraph Orchestration
Design and implement stateful multi-agent workflows with LangGraph. Complex branching logic, human-in-the-loop approvals, and persistent state management.
LangSmith Observability
Instrument your LLM applications with LangSmith for tracing, evaluation, and monitoring. Debug chains, measure quality, and optimise performance in production.
Technologies We Work With
LangChain Ecosystem
- LangChain Core & Community
- LangGraph
- LangSmith
- LangServe
- LangChain Expression Language
Vector & Retrieval
- Azure AI Search
- Pinecone
- Weaviate
- PostgreSQL pgvector
- Chroma
LLM Providers & Infra
- Azure OpenAI
- Anthropic Claude
- Google Gemini
- AWS Bedrock
- Open-source models
Why Choose Team 400 for LangChain
We've been building with LangChain since its early days and have shipped production RAG and agent systems for Australian enterprises.
Production RAG Specialists
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.
LangGraph Early Adopters
We adopted LangGraph early for complex multi-agent orchestration. We build stateful workflows that handle branching, retries, and human approvals in enterprise settings.
LLM-Agnostic Approach
We design applications that aren't locked to a single provider. Swap between OpenAI, Anthropic, Google, or open-source models as your needs evolve.
Evaluation-Driven Development
Every LangChain application we build includes evaluation suites. We measure retrieval quality, answer accuracy, and agent reliability before going live.
AI-Native Engineering Team
Our developers use AI tools daily and understand LLM capabilities and limitations firsthand. We build with the framework, not against it.
Local Australian Teams
Senior LangChain developers based in Sydney, Melbourne, and Brisbane. On-site workshops and face-to-face collaboration when you need it.
Frequently Asked Questions
Do you have LangChain developers in Sydney, Brisbane, and Melbourne?
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.
Should we use LangChain or build our LLM application from scratch?
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.
How accurate are your RAG systems at answering questions from our documents?
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.
Can you build LangChain applications that work with Azure OpenAI?
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.
How much does a LangChain development project cost?
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.
Ready to Build with LangChain?
Get in touch with our LangChain consultants in Sydney, Brisbane, or Melbourne to discuss your LLM application project.