Read 17 LangChain reviews and testimonials from customers, explore 25 case studies and customer success stories, and watch 9 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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Customer Rating Review Scorebased on 512 reference ratings
4.8/5.0 (512)

17Testimonials

  • “LangChain introduced critical cognitive architectures that facilitate a better grasp of generative AI, enriching our team’s understanding of this evolving technology. The LangChain team keeps up the rapidly-evolving corpus of research, and then implements that into LangChain so we can benefit from the latest advances.”

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25 Case Studies

  • How Dun & Bradstreet’s ChatD&B™ uses LangChain and LangSmith to deliver trusted, data-driven AI insights

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9 Customer Videos

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Additional LangChain Information & Resources

Read LangChain Reviews, Testimonials & Customer References from 17 real LangChain customers.

Browse LangChain Case Studies, Customer Success Stories, & Customer References from 25 businesses that use LangChain.

Watch LangChain Customer Videos to learn why 9 businesses chose LangChain.