LangChain Integration Services

Starts at $1,499 for LangChain setup + single chain or simple RAG. Pro at $3,699-$7,299 adds complex chains, agents, LangGraph, tool calling, hybrid routing, full observability. Enterprise (multi-agent collaborative, human-in-loop, fine-tuning) is custom — typically $9,000-$30,000.

Raw OpenAI: simplest, single LLM call use cases. Vercel AI SDK: streaming UI for Next.js, middle complexity. LangChain: complex orchestration (multi-step, agents, tools, memory, retrieval). Use LangChain when your AI feature needs more than 2-3 sequential steps or has agentic behavior.

TypeScript (langchain.js) if your stack is Next.js / Node.js — keeps everything in one language. Python if you have ML team or need mature ecosystem (LangGraph, LangSmith, advanced retrievers ship Python-first, JS slightly behind).

LangGraph is LangChain's state-machine framework for multi-actor agent workflows — multiple LLM calls coordinating, with branching, human-in-the-loop, and persistence. Use it for: research-write-review pipelines, complex customer support agents, document processing workflows. Overkill for simple chatbots.

AI features fail silently — bad answers ship to users without anyone noticing for weeks. LangSmith captures every chain execution with intermediate steps, costs, latency. Critical for debugging and quality monitoring. Most agencies skip this and clients pay the price 3 months later.

Yes — LangChain is LLM-agnostic. We build hybrid routing where, say, Claude handles writing + GPT-4 handles tool use + Gemini handles multimodal — each LLM doing what it's best at. Improves quality + can reduce cost.

Pay-as-you-go at $90/hr or AI SLA at $500/month with 4-hour response, monthly eval review. ~80% of Pro/Enterprise clients move to SLA.