LangChain Development LangChain apps built for production — with evals, not just Jupyter notebooks.
Build LLM-powered applications with advanced chain orchestration. Delivered by our Cloud & DevOps team in 2 to 12 weeks. USD pricing.
Part of our Cloud & DevOps practice — see related capabilities below.
Get started in 60 seconds
Who we've built for.
How we work
- Focus
- LangChain Development
- Stack
- AWS · Azure · GCP · Docker · Kubernetes · Terraform · GitHub Actions · Vercel · LangChain · n8n
- Integrations
- CI/CD pipelines · observability · secrets management · IaC · serverless · vector DB hosting
- Typical timeline
- 2 to 12 weeks
- Compliance
- SOC 2 infrastructure · encryption at rest · IAM least privilege · backup and DR runbooks
We build production applications with LangChain and LangGraph: RAG pipelines, multi-agent workflows, tool-using agents, and LLM orchestration with evaluation harnesses, observability, and cost controls.
Recent cloud and AI infrastructure builds
1.6B EAN product API, Next.js dashboard, Amazon/Walmart Chrome extension with Keepa charts
Read case study →
Unified company knowledge graph, graph RAG, SOC/ISO PR scans & LLM implementation.md from every source
Read case study →
All-in-one hospital platform with AI medical history in seconds, staff, patients, inventory, CRM & finance
Read case study →
Built a complete Legal AI Contract Review & Drafting platform from scratch, with LLM fine-tuning, MS Word add-in, and multi-dashboard ecosystem
Read case study →What we deliver — LangChain
RAG pipelines with LangChain
Document ingestion, chunking, embedding, retrieval, and generation with citation.
LangGraph agent workflows
Multi-step agents with state management, human-in-the-loop, and branching logic.
Tool-using agents
Agents that call APIs, query databases, and execute actions in your systems.
LangSmith observability
Tracing, evaluation datasets, and regression testing for LLM outputs.
Vector store integration
Pinecone, Weaviate, pgvector, and Azure AI Search as retrieval backends.
LangChain to production deployment
FastAPI services, queue workers, and scaling patterns for LLM workloads.
Capability detail: Cloud & DevOps, Azure AI Cloud, N8N Automation, Workato Integration, Replit Development, Strapi CMS.
Typical engagement ranges
Cloud setup and CI/CD
From $3,000
- Infrastructure as code.
- Staging and production environments.
- Typical 2 to 4 weeks.
Platform engineering
From $9,500
- Kubernetes or serverless architecture.
- Monitoring, alerting, runbooks.
- Typical 4 to 8 weeks.
Enterprise cloud program
From $21,000
- Multi-region, DR, compliance.
- DevOps team enablement.
- Typical 8 to 16 weeks.
FAQ
LangChain accelerates RAG and agent development. Raw API calls suffice for simple single-turn features. We choose based on complexity.
Python for ML teams and data pipelines. TypeScript LangChain.js when your stack is Node.js/Next.js.
Evaluation datasets, LangSmith traces, and automated regression tests on prompt changes before deploy.
RAG MVP from $6,000. Multi-agent production systems from $14,000.