Models
Models are a core component of LangChain. LangChain is not a provider of models, but rather provides a standard interface through which you can interact with a variety of language models. LangChain provides support for both text-based Large Language Models (LLMs), Chat Models, and Text Embedding models.
LLMs use a text-based input and output, while Chat Models use a message-based input and output.
Note: Chat model APIs are fairly new, so we are still figuring out the correct abstractions. If you have any feedback, please let us know!
All Models
🗃️ Chat Models
2 items
🗃️ Embeddings
2 items
🗃️ LLMs
2 items
Advanced
This section is for users who want a deeper technical understanding of how LangChain works. If you are just getting started, you can skip this section.
Both LLMs and Chat Models are built on top of the BaseLanguageModel class. This class provides a common interface for all models, and allows us to easily swap out models in chains without changing the rest of the code.
The BaseLanguageModel class has two abstract methods: generatePrompt and getNumTokens, which are implemented by BaseChatModel and BaseLLM respectively.
BaseLLM is a subclass of BaseLanguageModel that provides a common interface for LLMs while BaseChatModel is a subclass of BaseLanguageModel that provides a common interface for chat models.