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- LangChain
LangChain products are designed to be used independently or stack for multiplicative benefit LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey
- GitHub - langchain-ai langchain: Build context-aware reasoning . . .
LangChain is a framework for building LLM-powered applications It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves
- LangChain - Wikipedia
LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis
- Introduction to LangChain - GeeksforGeeks
LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs) It provides a standard interface for chains, many integrations with other tools, and end-to-end chains for common applications
- Getting The Most From The LangChain Ecosystem - KDnuggets
Learn how to use the LangChain ecosystem to build, test, deploy, monitor, and visualize complex agentic workflows
- Introduction | ️ LangChain
LangChain is a framework for developing applications powered by large language models (LLMs) LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source components and third-party integrations
- LangChain - LinkedIn
LangChain is the platform for building reliable agents Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT T, Home
- AI Startup LangChain Is In Talks To Raise $100 Million - Forbes
The startup, which sources say is raising at a $1 1 billion valuation, helps developers at companies like Klarna and Rippling use off-the-shelf AI models to create new applications
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