Langchain was again crucial in building our browser agent which has improved a ton in terms of reliability

Provided modular building blocks for chaining LLM tools and agents. Way more flexible than DIY orchestration.

We used LangChain to orchestrate prompt flows, memory, and tool use across our AI Agents. It gave us the flexibility to chain LLM calls with infrastructure logic, without reinventing the wheel. Solid framework for building structured, agentic AI systems.

The platform is designed with simplicity in mind, allowing even those without a technical background to navigate and utilize its features effortlessly.

LangChain makes it easy to build complex LLM applications with simple, modular components. Its plug-and-play design supports agents, tools, and memory out of the box—ideal for rapid, production-ready AI workflows.

Powerful, flexible, and easy to use!

ok gracias totales dijo soda

LangChain is an open-source framework designed to simplify the creation of applications powered by large language models (LLMs). My thoughts on it are that it serves as a powerful but sometimes complex tool that has significantly influenced the development of LLM-powered applications. It excels at connecting LLMs to external data sources and enabling them to interact with their environment.

Best orchestration tool to use for AI companies at scale.

Huge respect for how this suite keeps growing while staying dev-friendly!

Langchain is one of those interesting frameworks that really help you build out an agentic flow though at the last minute all sorts of things are gated behind Langraph Platform. For instance to use the Langraph React hook you will have to reimplement their API.

I built my tracing with langsmith really fast

Amazing for prototyping and using different models

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Langchain reviews

The community submitted 83 reviews to tell us what they like about Langchain, what Langchain can do better, and more.