Online app builders6/20/2023 To that end, LangChain provides prompt templates that you can use to format inputs and a lot of other utilities. Even in a ChatGPT session, the answer is only as helpful as the prompt. Prompts are at the core of any NLP application. Which can then be used to generate a response. You may need to read in user input which is then used to construct the prompt. However, as the name LangChain suggests, you can chain together LLM calls depending on specific tasks.įor example, you may need to get data from a specific URL, summarize the returned text, and answer questions using the generated summary. It is essentially a wrapper around a large language model that helps use the functionality and capability of a specific large language model.Īs mentioned, LLM is the fundamental unit in LangChain. LLM is the fundamental component of LangChain. ![]() Next let's take a look at some of the modules in LangChain: Agents that solve specific like math and reasoning puzzles. ![]()
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