LangChain Expression LanguageHow toHow to📄️ Bind runtime argsSometimes we want to invoke a Runnable within a Runnable sequence with constant arguments that are not part of the output of the preceding Runnable in the sequence, and which are not part of the user input. We can use Runnable.bind() to easily pass these arguments in.📄️ Add fallbacksThere are many possible points of failure in an LLM application, whether that be issues with LLM API's, poor model outputs, issues with other integrations, etc. Fallbacks help you gracefully handle and isolate these issues.📄️ Run arbitrary functionsYou can use arbitrary functions in the pipeline📄️ Use RunnableParallel/RunnableMapRunnableParallel (aka. RunnableMap) makes it easy to execute multiple Runnables in parallel, and to return the output of these Runnables as a map.📄️ Route between multiple RunnablesThis notebook covers how to do routing in the LangChain Expression Language.PreviousInterfaceNextBind runtime args