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Concepts

Overview

name description
chain() Core funcchain syntax component to write chains
Input Args prompt placeholders and input for your chains
BaseModel Core component to create pydantic models/classes
Settings Global settings object with for all your chains
SettingsOverride Local settings dict for a specific chain
OutputParser Parses the llm output into your desired shape
Prompting Templating system and techniques for writing prompts
Vision LLM that can also takes images as input/context
Streaming Token by token streaming of llm output
Unions Pydantic union types for your models
LangChain Library for building cognitive systems