LangChain development

LangChain Development Experts

LangChain and LangGraph engineering for production — consultation, custom development, audits, and dedicated teams for LLM applications you own.

Schedule free consultation See our process
Framework

What is LangChain?

A framework for building LLM applications that connect models to tools, retrieval, and memory.

01

LLM-native applications

LangChain is a framework for developing applications powered by large language models (LLMs). LangChain can help you build AI-powered applications that integrate with external data sources, perform complex reasoning, and manage long-term memory, enabling more dynamic and context-aware user interactions.

02

Proven at scale

With wide adoption in over 100,000 projects across various industries and a large community, LangChain has emerged as a leading framework in developing AI and LLM solutions.

Our LangChain services

How we help with LangChain

LangChain consultation +
Leveraging our deep expertise in AI-driven applications, we help you create optimal AI solutions using LangChain. Our team carefully evaluates your needs to craft customized AI strategies specifically designed for your business.
Custom LangChain-based software development +
With our deep expertise in AI and LLM-based solution development, we can create custom LangChain-based software tailored to meet your business needs. Our solutions integrate advanced technology to ensure maximum efficiency and intuitive user experience.
LangChain project audit +
Our LangChain project audit service is designed to ensure that your AI solutions are built on a solid foundation. With a thorough examination of your existing LangChain projects, our experts identify potential areas for improvement, optimization, and risk mitigation.
LangChain team development +
Our LangChain team development service is designed to build a dedicated team of experts tailored to your specific AI project needs. We work closely with you to understand your goals and challenges, and then assemble a team of skilled professionals proficient in LangChain and AI technologies.
Advanced LangChain features

Advanced LangChain Features

01 / 03

Full-Stack framework in working with LLMs

LangChain enables the provision of comprehensive, end-to-end solutions for AI and machine learning needs. From model development to deployment, it ensures seamless integration and optimal performance.

Schedule a free LangChain consultation

Map your LLM use case, stack choices, and the fastest path to a production LangChain or LangGraph build.

Schedule free consultation
Why Vstorm

Why choose Vstorm?

Experience in LangChain projects
We leverage our extensive experience in LangChain across numerous projects, ensuring the effective implementation of AI solutions. Our specialization in LLMs and Generative AI allows us to create innovative applications that drive real value for your business.
Innovative research and development
Our team works with the latest solutions in LangChain technology. As specialists in AI application development, we focus on enhancing business processes, driving cost savings, and boosting productivity for our clients.
Specialized tech stack
We have a specialized development team with deep expertise in LangChain, ensuring your AI projects are built with advanced technology. Our team's focus on innovation and precision guarantees solutions that are both efficient and tailored to your unique business needs.
Part of the exclusive LangChain community
We have been collaborating with LangChain almost since its inception, which has earned us a place in their exclusive community. This membership allows us to access the latest advancements and insights directly from the source, ensuring our solutions are always at the forefront of innovation.
Proof

LangChain case studies

Collaborative assistants, data scraping, and RAG email response — LangChain in production engagements.

Collaborative Conversational AI assistant with automation
Open-source AI platform enabling real-time multi-user collaboration with LLMs, built with LangChain for a California-based web annotation startup.
Read case study
Automated data scraping platform powered by AI and LLMs
AI-powered hyper-automated platform scraping unstructured data from thousands of news sources using LLMs, LangChain, and LlamaIndex for Rotwand.
Read case study
RAG: Automation e-mail response with AI and LLMs
Vstorm implemented RAG and LLMs to fully automate Senetic's global email response process, enabling real-time multilingual replies across 151 countries.
Read case study
Do you see a business opportunity?

Share your LangChain or LangGraph use case — we will help you scope the right approach and next steps.

Let's work together
From the blog

Our latest LangChain articles

Read more
Open Source

Pydantic Deep Agents vs LangChain Deep Agents: Which Python AI Agent Framework Should You Choose in 2026?

Two open-source Python frameworks for agents that run for hours, plan work and spawn subagents. Compared on architecture, control and production fit.
AI

What Is Retrieval-Augmented Generation (RAG) for LLMs

RAG transforms LLM-based AI applications by incorporating up-to-date, specific data, making them better suited to real-time needs.
Open Source

Adding Monty: a lightweight sandbox for model-written Python

Monty runs model-written Python without spinning up a container. Why we added it to the Full-Stack AI Agent Template, and where it stops.
FAQ

Frequently asked questions

What is LangChain used for? +
LangChain is a framework for building AI-powered applications that integrate LLMs with external APIs, vector databases, and memory modules, enabling the development of more dynamic and context-aware workflows.
Why use LangChain for building AI solutions? +
LangChain simplifies the construction of LLM applications by providing building blocks that make it easier to connect models to external data sources, APIs, and memory systems, improving the flexibility and scalability of AI workflows.
What is LangGraph, and how does it relate to LangChain? +
LangGraph is an extension of LangChain that enables developers to create structured, stateful workflows by modeling LLM applications as graphs. It improves workflow management, fault tolerance, and debugging capabilities.
Can LangChain integrate with GitHub and APIs? +
Yes, LangChain supports integration with GitHub for version control and collaboration, and can easily connect to multiple APIs, allowing LLM applications to interact with external services and databases.
How do vector databases enhance LangChain applications? +
Vector databases allow LangChain applications to retrieve semantically relevant information quickly and accurately, improving the relevance of AI-generated responses during query handling.
How do you debug workflows built with LangChain and LangGraph? +
LangChain and LangGraph support real-time observability and detailed logging, making it easier to debug, optimize, and monitor workflows across development and production environments.
Can LangChain be used for building multi-agent systems? +
Absolutely. LangChain and LangGraph provide the foundational tools to create multi-agent systems that coordinate multiple LLM agents handling complex tasks and queries.
Is LangChain an open-source framework? +
Yes, LangChain is an open-source project with a large and growing community on GitHub, making it an accessible and continually evolving resource for AI developers.
Schedule a consultation

Schedule a free LangChain consultation

Talk through your LLM application with engineers who ship LangChain and LangGraph in production.

Schedule free consultationRead case studies