Read 14 LangChain reviews and testimonials from customers, explore 15 case studies and customer success stories, and watch customer videos to see why companies chose LangChain as their undefined

LangChain is an open source framework for building applications based on large language models (LLMs). LLMs are large deep-learning models pre-trained on large amounts of data that can generate responses to user queries—for example, answering questions or creating images from text-based prompts. LangChain provides tools and abstractions to improve the customization, accuracy, and relevancy of the information the models generate. For example, developers can use LangChain components to build new prompt chains or customize existing templates. LangChain also includes components that allow LLMs to access new data sets without retraining.

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14Testimonials

  • “The speed at which we’re able to move would not be possible unless we had a full-stack observability platform like LangSmith. It has saved countless hours for our developers and made tasks that would have been almost unfeasible, feasible.”

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15 Case Studies

  • How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith

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Read LangChain Reviews, Testimonials & Customer References from 14 real LangChain customers.

Browse LangChain Case Studies, Customer Success Stories, & Customer References from 15 businesses that use LangChain.