It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
LangSmith is a tool in the AI Infrastructure category of a tech stack.
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What are some alternatives to LangSmith?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.
Python, LangChain, Kubernetes, TypeScript are some of the popular tools that integrate with LangSmith. Here's a list of all 4 tools that integrate with LangSmith.