LangChain Consulting & Development
We help startups and enterprises build production-grade LLM applications with LangChain. From architecture design to deployment, we bring deep expertise in the LangChain ecosystem to accelerate your AI initiatives.
What We Do
End-to-End LangChain Expertise
LangChain Architecture
Design and build production LLM applications with robust chain architectures, retrieval-augmented generation, and structured output parsing.
Migration & Optimization
Upgrade from legacy LLM implementations to LangChain v1. Refactor chains for performance, reduce token costs, and improve reliability.
LangGraph Agents
Build multi-agent systems with LangGraph for complex workflows that require planning, tool use, and human-in-the-loop orchestration.
Results
Proven Impact
5-10x
Throughput improvement
50-70%
Cost reduction
90%+
Cache hit rates
8
Production agents deployed
Technologies
Our Stack
We're not loyal to any single vendor. We pick the right tools for your problem, your scale, and your budget.
Case Studies
Real-World Results
LangChain Platform Migration
Migrated a legacy LLM platform to LangChain v1, achieving 5-10x throughput and 50-70% cost reduction.
LangGraph Multi-Agent System
Built a coordinated multi-agent system with LangGraph for autonomous content workflows.
Dynamic Model Switching with LangGraph
Implemented intelligent model routing for cost-optimized inference across multiple LLM providers.
FAQ
Common Questions
What is LangChain and why should I use it?
LangChain is the most widely adopted framework for building LLM-powered applications. It provides production-ready primitives for chaining LLM calls, managing prompts, integrating tools, and orchestrating complex AI workflows. You should use it when building applications that go beyond simple API calls — multi-step reasoning, RAG pipelines, tool use, and agent-based systems.
How much does LangChain consulting cost?
Our LangChain consulting engagements typically range from $30K-75K depending on scope. A focused engagement (migration, optimization, or single feature build) starts around $30K. Comprehensive LangChain architecture + implementation projects are in the $50-75K range. This compares to $200K-400K+ per year for hiring an in-house LangChain specialist.
Can you migrate our existing LLM code to LangChain?
Yes. We have migrated multiple production systems from legacy LLM implementations to LangChain v1. A typical migration takes 6-10 weeks and includes architecture redesign, implementation, testing, and deployment. Our migrations consistently deliver 5-10x throughput improvements and 50-70% cost reductions through better caching, batching, and model routing.
Do you also work with LangGraph for agent development?
Yes. LangGraph is our primary framework for building multi-agent systems. It provides state management, conditional routing, and persistence that are essential for production agent workflows. We have deployed 8+ production agents using LangGraph across multiple client engagements.
Ready to build with LangChain?
Let's discuss how we can help you design, build, or optimize your LangChain-powered AI systems.