How is LangChain structured? Tell me about its main components.

LangChain is a framework for building applications using large language models (LLMs). The main idea is to simplify the integration of LLMs with various data sources and logic.

Main components of LangChain:

• LLM (Language Model) — an interface for calling language models like GPT.
• Prompt Templates — templates for forming requests to the model with parameters.
• Chains — sequences of steps that combine LLM calls and data processing to solve tasks.
• Agents — more complex chains with decision-making logic and interaction with external tools.
• Memory — a mechanism for storing state between calls so the model can "remember" context.
• Tools — external services or functions that the agent can use (e.g., search, databases).

LangChain allows building complex applications by combining these components for automating dialogues, data analysis, and other tasks using AI.