Langchain 101: Extract structured data (JSON)

Author(s): Dr. Mandar Karhade, MD. PhD.

Originally published on Towards AI.

A practical example of controlling output format as JSON using Langchain

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Based on the medium’s new policies, I am going to start with a series of short articles that deal with only practical aspects of various LLM-related software.

Photo by Marga Santoso on Unsplash

In this tutorial, we will learn how to extract structured data from free text. Let's get some data.

# Get some text https://arxiv.org/abs/2308.03279 abstractinp = """Large language models (LLMs) have demonstrated remarkable \generalizability, such as understanding arbitrary entities and relations. \Instruction tuning has proven effective for distilling LLMs \into more cost-efficient models such as Alpaca and Vicuna. \Yet such… Read the full blog for free on Medium.

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Published via Towards AI