Foundational

📄️ LLM

An LLMChain is a simple chain that adds some functionality around language models. It is used widely throughout LangChain, including in other chains and agents.

📄️ Router

This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects the next chain to use for a given input.

📄️ Sequential

The next step after calling a language model is make a series of calls to a language model. This is particularly useful when you want to take the output from one call and use it as the input to another.

📄️ Transformation

This notebook showcases using a generic transformation chain.