In this exploration, we'll see how to turn raw, unstructured documents into structured knowledge graphs using Gemini. We'll start by prototyping to develop our intuition. Then, we'll optimize our prompts and outputs, and finally scale up to process entire books or dense legal contracts. By the end, we'll even visualize extracted book narratives and contractual network graphs!
A few notes before we start:
I'm a software engineer, developer advocate at Google Cloud, and hope you'll learn a few things. Thoughts and opinions are entirely my own.
The complete source code is available in this notebook (including setup details and future updates) under the Apache 2.0 license. You can also directly open the notebook in Colab. This article reproduces all the results generated by a click on “Run all”.
You can experiment and build for free with Gemini in the following platforms:
