Getting Started — 🦜🔗 LangChain 0.0.113

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• from langchain.chains import SimpleSequentialChain overall_chain = SimpleSequentialChain(chains=[chain, chain_two], verbose=True)

• def _call(self, inputs: Dict[str, str]) -> Dict[str, str]: output_1 = self.chain_1.run(inputs) output_2 = self.chain_2.run(inputs) return {'concat_output': output_1 + output_2}

• In this tutorial, we will cover: Using a simple LLM chain Creating sequential chains Creating a custom chain

• Chains allow us to combine multiple components together to create a single, coherent application.

• The LLMChain is a simple chain that takes in a prompt template, formats it with the user input and returns the response from an LLM.

• We can do this using sequential chains, which are chains that execute their links in a predefined order.