LangChain Integration Services
LangChain integrated for production AI agents, RAG, and tool use — with LangGraph orchestration.
LangChain is the most-adopted framework for building LLM applications — used by Klarna, Replit, Elastic, and 100K+ developers. We integrate LangChain (Python or TypeScript) for RAG pipelines, agent workflows, multi-step reasoning chains, tool calling, and memory management. Plus LangGraph for stateful multi-actor agents and LangSmith for observability. Especially valuable for SaaS building production AI features that need orchestration beyond simple API calls.
Why Teams Choose Us for LangChain Integration
Specifics that matter when you are betting your business on a LangChain integration.
LangChain production-grade specialists — 30+ AI features shipped
LangChain in production is different from notebook demos. We have shipped 30+ LangChain integrations including RAG, agents, multi-step chains, and complex tool orchestration — with proper error handling, retries, and observability.
LangGraph for stateful multi-actor agents
For AI features requiring multiple agents collaborating (e.g., research → write → review pipelines), LangGraph is the production standard. We have shipped 8+ LangGraph implementations including human-in-the-loop workflows.
LangSmith observability — never fly blind on AI quality
LangSmith captures every chain execution, intermediate step, latency, cost. Critical for debugging AI features and detecting quality regressions. We wire LangSmith into every project from day 1.
TypeScript LangChain for full-stack consistency
For Next.js / Node.js stacks, we use LangChain TypeScript (langchain.js) so AI logic lives in the same codebase as the rest of your app. Most agencies default to Python — we ship TS when it matches your stack.
Everything You Get in a LangChain Integration
No fine print, no surprise add-ons. Every line below is included in our scope.
How We Ship Your LangChain Integration
Day-by-day, with milestones you can hold us to.
Architecture review + chain/agent design
Map use case to chains/agents/LangGraph. Architecture doc + quote in 48 hrs.
Backend LangChain + RAG + tools
Server-side LangChain with retriever, reranker, tool calling, memory.
LangGraph multi-agent (if applicable) + frontend streaming
For multi-actor: LangGraph state machine. Frontend streaming UI.
LangSmith observability + eval suite + go-live
Wire LangSmith, build eval suite. Switch to live. 60-day support starts.
LangChain Integration Pricing
Fixed-price tiers in USD (global pricing). Equivalents in other currencies shown for reference. No hourly billing surprises.
Starter
For small teams shipping fast
₹60K for India · AED 4,500 for UAE
7–10 days- LangChain setup (TS or Python)
- Single chain or simple RAG
- LangSmith basic observability
- 30 days support
Pro
For growing businesses needing the full feature set
₹1.8L for India · AED 13,000 for UAE
14–18 days- Complex multi-step chains + agents
- LangGraph state machine
- Tool calling with retries
- Hybrid LLM routing
- Full LangSmith + eval suite
- 60 days support
Enterprise
For complex flows, marketplaces, and scale
Priced per scope
21+ days- Multi-agent collaborative workflows
- Human-in-the-loop integration
- Custom retriever / reranker fine-tuning
- Dedicated SLA
- Quarterly architecture review
We Integrate LangChain Across Every Major Stack
Your tech stack does not change our pricing. Pick yours below to see relevant work.
Trusted by LangChain Users in These Industries
Industry-specific patterns, compliance, and proven flows.
Real LangChain Integrations We Shipped
Specific outcomes, not vague testimonials.
Legal SaaS — LangGraph multi-agent contract review
Built 4-agent LangGraph workflow (Extract → Risk-flag → Compare → Suggest-redline) for contract analysis. Per-contract human review time dropped from 90 min to 12 min.
90min → 12min per contract
B2B SaaS — LangChain agent with 18 tools
Built customer-support agent with 18 tools (CRM, ticket system, KB search, billing). LangSmith caught 3 regression bugs before production. Ticket deflection 53%.
53% ticket deflection
EdTech — Multi-step reasoning tutor on LangChain
Built math tutor that breaks problems into steps via LangChain reasoning chains. Step-by-step explanations + Socratic prompts. Student session length +2.4x.
+2.4x session length
Why Codingclave for LangChain Integration
A side-by-side comparison vs hiring a freelancer or another agency.
| Feature | Codingclave (Us) | Freelancer | Other Agency |
|---|---|---|---|
| LangGraph multi-agent expertise | 8+ shipped | Almost never | Special service |
| LangSmith observability | Built-in by default | Skipped | Charged extra |
| TypeScript LangChain.js | Native for Next.js stacks | Python-only | Python-only |
| Eval suite + regression detection | Built-in | No eval | Charged extra |
| Pricing transparency | Fixed price | Hourly | Inflated |
Talk Directly to Ashish for Your LangChain Integration
I personally review every LangChain integration we ship — scope, pricing, and delivery timeline. With 200+ projects shipped since 2017, a 100% Job Success Score on Upwork, and 4.9★ on Google, my reputation is on every integration we deliver. If something breaks at 2 AM, I am the one fixing it.
Lucknow, India · Available for calls in IST, GST, BST, EST · Free consultation
LangChain Integration — Common Questions
Everything teams ask before signing on.
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.
Related Integrations
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200+ Projects Shipped
From government websites to SaaS products — we've delivered at every scale since 2017.
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