Step-by-Step Guide: Using LangExtract with OpenAI

Recently, Google launched a library called LangExtract. LangExtract is an open-source Python library that enables developers to transform unstructured text into structured information using large language models (LLMs).

It offers a lightweight interface compatible with multiple model backends, including Gemini and GPT, making it well-suited for processing large unstructured text into structured information.

Some key features of LangExtract are:

• Multi-model support – Works with various LLM providers, including Gemini, Lama, GPT.
• Custom extraction rules – Define your own instructions to fit specific use cases.
• Lightweight interface – Minimal overhead for faster integration into existing workflows.
• Traceable outputs – Built-in mechanisms to monitor and verify how results are generated.
• High-volume processing – Efficient handling of large datasets without sacrificing control.

Read full article here

https://www.telerik.com/blogs/step-by-step-guide-using-langextract-openai

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