Lang Chain

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 based on text-based prompts. LangChain provides tools and abstractions to improve the customization, accuracy, and relevance of the information generated by the model. For example, developers can use LangChain components to build new prompt chains or customize existing templates. LangChain also allows LLMs to use components of new datasets without retraining.

Advantages of LangChain

• Repurposing language models：With LangChain, organizations can reuse LLMs for domain-specific applications without retraining or fine-tuning. Development teams can build complex applications that reference proprietary information to enhance model responses. For example, LangChain can be used to build an application that reads data from stored internal documents and summarizes it into a conversational response.
• Simplifying AI development：LangChain simplifies artificial intelligence (AI) development by abstracting the complexity of data source integration. Developers can customize sequences and quickly build complex applications. Software teams can modify the templates and libraries provided by LangChain to reduce development time. 
• Developer Support：LangChain provides AI developers with tools to connect language models and external data sources. It is open source and supported by an active community. Organizations can use LangChain for free and get support from other developers who are proficient in the framework.