A 4-agent research crew
A team of coordinated AI agents that plan, use real tools and hand off to people when it matters.
-60% Failures
View Case Study
LANGCHAIN & LANGGRAPH DEVELOPMENT
Production AI Pipelines With LangChain & LangGraph.
RAG pipelines, LangGraph agents, multi-agent workflows, LangSmith evaluation and deployment, all from one LangChain team.
- RAG pipelines
- LangGraph agents
- LangSmith
- Deployment
Agent failure rate
-
0
%
LangChain experts
Graph-based agents
-
0
%
Agent failure rate
Graph-based agents
LangChain experts
WHY LANGCHAIN
The Framework Behind Serious AI Apps
LangChain and LangGraph bring structure to complex AI: retrieval, tools, state and multi-step agent flows you can debug and trust.
- Composable RAG pipelines
- Stateful agents with LangGraph
- Human-in-the-loop checkpoints
- Tracing and evals with LangSmith
0
%
Traceable runs
EVERYTHING LANGCHAIN
Complete LangChain Services
One team handles all your LangChain work, from the first build through ongoing support.
RAG Pipelines
Retrieval done right.
- Loaders & chunking
- Hybrid retrieval
- Reranking
LangGraph Agents
Stateful, controllable agents.
- Graphs & state
- Checkpoints
- Interrupts
Multi-Agent Workflows
Teams of agents.
- Supervisors
- Handoffs
- Shared memory
Tool Integration
Agents that act.
- Custom tools
- MCP
- APIs
- LangSmith Evaluation
- Datasets
- Evaluators
- Regression tests
Observability
See every step.
- Tracing
- Cost tracking
- Alerts
Deployment
Scale to production.
- LangGraph Platform
- Docker
- Serverless
Migration & Refactoring
Fix fragile chains.
- Chain → Graph
- Version upgrades
- Cleanup
Support & Optimization
Keep improving.
- Prompt tuning
- Latency
- Costs
Got a LangChain project in mind? We'll send a free estimate within 48 hours.
ECOSYSTEM
LangChain Ecosystem & Integrations
The tools, extensions and integrations we use every day.
LangChain
La
LangChain
La
LangGraph
La
LangSmith
La
LangServe
Models
Cl
Claude
Op
OpenAI
Ge
Gemini
Ll
Llama
Vector Stores
pg
pgvector
Pi
Pinecone
Ch
Chroma
We
Weaviate
Infra
AW
AWS
Do
Docker
Fa
FastAPI
Redis
WHY AVENIX
Why Choose Avenix for LangChain
AI Engineers
Real production AI experience.
Model-Agnostic
Right model for the job.
Secure by Design
Your data stays protected.
Evaluation-Driven
Measured quality.
Cost-Aware
Usage kept efficient.
Ongoing Support
Ongoing monitoring and tuning.
ENGAGEMENT MODELS
Flexible Ways to Work With Us
Fixed-Scope Project
Clear scope, timeline and price.
- Detailed estimate
- Milestone payments
- Ideal for new builds
MOST POPULAR
Dedicated LangChain Engineer
A senior developer embedded in your team.
- Full-time or part-time
- Daily stand-ups
- Scale up or down monthly
Support & Maintenance
Ongoing updates, fixes and improvements.
- Monthly retainer
- Guaranteed response times
- Security & updates
HOW WE WORK
Our LangChain Development Process
01
Discover
Goals, users and requirements.
02
Plan
Architecture, scope and estimate.
03
Design
UX/UI and technical specs.
04
Develop
Agile sprints with weekly demos.
05
Test & Launch
QA, security and deployment.
06
Support
Maintenance and improvements.
CASE STUDIES
LangChain Projects We've Delivered
Real projects, real people, results you can measure.
Knowledge assistant over 12k docs
A retrieval-augmented assistant that answers from the team's own documents, with sources on every reply.
94% Accuracy
View Case Study
Evaluation pipeline for a support agent
Production-grade LLM engineering: fast, measurable and cheaper to run.
+20% Quality
View Case StudyINDUSTRIES
LangChain Solutions for Every Industry
TESTIMONIALS
What Our Clients Say
“Moving to LangGraph turned our flaky prototype into an agent we can actually debug and trust.”
Daniel Morgan
Head of Product, Northwind Retail
NORTHWIND
“From brand to website to SEO, it finally feels like one story. Leads are up 75% and our team actually enjoys working with them.”
Amara Okafor
Marketing Director, Lumora Health
Lumora
FAQS
LangChain FAQs
Can’t find what you need? Our team is happy to help.
Still have questions?
Talk to a real person, not a bot.
LangChain or LangGraph?
LangChain for components; LangGraph for stateful, multi-step agents.
Do we need LangSmith?
We strongly recommend it for tracing and evaluation.
Can you fix our existing LangChain app?
Yes. We audit and refactor apps like this often.
Which models work with it?
Claude, GPT, Gemini, Llama and more.
KEEP EXPLORING
Related Technologies & Services
Multi-Agent AI
Agent teams.
RAG Development
Grounded AI.
Let's Build Your LangChain System.
Tell us what you’re building and we’ll recommend an approach, timeline and team.
- Free 30-min consultation
- Reply within 1 business day
- NDA on request
Talk to Arjun & the team
Usually replies in a few hours