About - LangExtract

Our Mission

This website serves as an unofficial resource for developers interested in Google's LangExtract library. Our goal is to make information about this powerful information extraction tool more accessible to the global developer community through comprehensive documentation, examples, and multilingual support.

What is LangExtract?

LangExtract is a Python library developed by Google for extracting structured information from unstructured text using large language models. Key capabilities include:

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Precise source grounding - mapping extractions to exact text locations" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Structured output generation with few-shot examples" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Optimized processing for long documents" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Interactive HTML visualizations" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Support for various LLM models including Gemini" } }

Important Disclaimer

This website is not officially associated with Google, Alphabet Inc., or the LangExtract project team. We are an independent resource created by developers for developers.

For official information, documentation, and support, please visit the official LangExtract GitHub repository

Why This Website?

We created this resource to address several needs in the developer community:

{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Multilingual access to LangExtract information" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Curated examples and use cases" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Community insights and feedback" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Search-optimized content for better discoverability" } }
{ "t": 0, "b": { "t": 2, "i": [ { "t": 3 } ], "s": "Mobile-responsive design for developers on the go" } }

Community Driven

Our content is informed by real developer feedback, community discussions, and practical use cases shared by the LangExtract community across various platforms.

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