LangChain B2B Case Studies & Customer Successes

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.

Case Studies

Showing 15 LangChain Customer Success Stories

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LLMs accelerate Adyen's support team through smart-ticket routing and support agent copilot

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Ally Financial Collaborates with LangChain to Deliver Critical Coding Module to Mask Personal Identifying Information in a Compliant and Safe Manner

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How Athena Intelligence rapidly iterated with LangSmith to generate high-quality enterprise reports

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LangChain Partners with CommandBar on their Copilot User Assistant

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LangChain partners with Elastic to launch the Elastic AI Assistant

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How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x

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LangChain Expands Collaboration with Microsoft

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Morningstar Intelligence Engine puts personalized investment insights at analysts' fingertips

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Improving Memory Retrieval: How New Computer achieved 50% higher recall with LangSmith

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How Paradigm runs and monitors thousands of agents in parallel with LangChain and LangSmith

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

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Rakuten Group builds with LangChain and LangSmith to deliver premium products for its business clients and employees

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Pushing LangSmith to new limits with Replit Agent's complex workflows in LangGraph

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Robocorp’s code generation assistant makes building Python automation easy for developers

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How Wordsmith quickly builds, debugs, and evaluates LLM performance in production

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