Build Production AI Applications
Deploy intelligent applications powered by large language models. RAG pipelines, AI agents, and conversational systems with enterprise-grade security and governance built in.
The LangChain Ecosystem
Five integrated tools that power production LLM applications from development through to deployment.
LangChain
Composable framework for building LLM-powered chains, agents and retrieval pipelines. Connect models to data sources, APIs and tools with modular components.
LangGraph
Stateful, multi-actor workflows modelled as graphs. Build complex agent orchestration with cycles, human-in-the-loop patterns and controllable execution.
LangSmith
Observability, testing and monitoring platform for the LLM application lifecycle. Debug chains, evaluate outputs and track production performance.
LangServe
Deploy LangChain chains as production-ready REST APIs. Built-in monitoring, versioning and scalable deployment infrastructure.
LangChain Hub
Discover, share and version control prompts and chains. Collaborate on prompt engineering and reuse proven patterns across teams.
What We Deliver
End-to-end LangChain development from strategy through to production deployment.
Strategy & Architecture
Evaluate AI readiness, identify high-value LLM use cases and design LangChain architecture aligned to business objectives and data landscape.
RAG Pipeline Development
Build retrieval-augmented generation systems with vector databases, embeddings and semantic search. Ground LLM responses in your enterprise data.
AI Agent Development
Create autonomous agents that reason, plan and execute multi-step tasks using tools, APIs and external systems with LangGraph orchestration.
Enterprise Integration
Connect LangChain to existing systems, APIs, databases and document stores with secure, scalable integration patterns and access controls.
Production Deployment
Deploy with LangServe, containerisation and cloud infrastructure. Enterprise security, monitoring and compliance controls from day one.
Team Enablement
Upskill engineering teams on LangChain patterns, best practices and production deployment through hands-on workshops and embedded coaching.
Proven in Australian Enterprises
Real-world LangChain deployments delivering measurable outcomes.
Regulatory Document Q&A
RAG pipeline that indexes ASIC, APRA and AUSTRAC guidance documents. Analysts query regulatory requirements in natural language with source citations.
Clinical Decision Support
LangChain agents that retrieve patient history, cross-reference medical literature and suggest differential diagnoses with evidence-based reasoning.
Contract Analysis
Multi-agent system that extracts clauses, identifies risks, compares terms against templates and generates redline summaries for legal teams.
Citizen Service Automation
Conversational agents that handle enquiries across multiple departments, retrieve policy information and escalate complex cases with full context.
Model-Agnostic Approach
LangChain supports all major LLM providers. Choose the right model for your use case and switch providers without rewriting code.
OpenAI
GPT-4, GPT-3.5 and embedding models. Industry-leading performance for reasoning, code generation and complex task completion.
Anthropic Claude
Claude 3 family with extended context windows. Strong performance on analysis, research and long-document processing.
AWS Bedrock
Access multiple foundation models through a single API. Deploy within your AWS environment with enterprise security controls.
Related Services
Complementary capabilities for comprehensive AI adoption.