28 Feb Models Component of LangChain

Models refer to the large language models (LLMs) or embedding models that form the core of LangChain applications. These models are responsible for understanding, generating, and transforming text based on the input they receive.

Types of Models in LangChain

The following are the types of models in LangChain that forms the core of applications:

1. Large Language Models (LLMs):
   • These are powerful AI models (e.g., OpenAI’s GPT, Hugging Face models) capable of generating human-like text, answering questions, summarizing content, and more.
   • They are the “brains” of LangChain applications, enabling tasks like text generation, reasoning, and problem-solving.
2. Embedding Models:
   • These models convert text into numerical representations (embeddings) that capture semantic meaning.
   • They are used for tasks like document retrieval, similarity search, and clustering, enabling systems to find relevant information quickly.

Why Are Models Important?

They provide the intelligence behind LangChain applications, enabling tasks like question answering, chatbots, and content creation. By combining different types of models (e.g., LLMs + embedding models), LangChain can build powerful, context-aware systems.

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