Build, test, and deploy LLM apps and agents with modular building blocks.
5 months ago
The real power of LangChain isn't just the core library, but the whole ecosystem—LangSmith for debugging and tracing, LangServe for deploying, and the community building new integrations every day. LangSmith in particular is an essential tool for understanding and improving your LLM chains. It's the most mature toolkit in the space.
7 months ago
I started my project with LangChain, but I found the level of abstraction to be confusing and hard to debug. When something broke inside a 'Chain', it was difficult to trace. I ended up pulling out the parts I needed (like the text splitters) and writing my own simpler orchestration logic. It's great for prototyping, but can be too magical for production.
8 months ago
LangChain provides all the building blocks you need to go beyond simple prompt-and-response. Document loaders, text splitters, vector store integrations—it's all there. It has a steep learning curve and the documentation can be a bit chaotic, but you can build complex agents and RAG pipelines much faster with it.
