# thu-vu92/structured-rag-pdf

<https://repo.masters-masters.com/en/repos/thu-vu92/structured-rag-pdf>

[Home](https://repo.masters-masters.com/en) › [thu-vu92](https://repo.masters-masters.com/en/owners/thu-vu92) › [structured-rag-pdf](https://repo.masters-masters.com/en/repos/thu-vu92/structured-rag-pdf)

thu-vu92/structured-rag-pdf has 111 stars on GitHub. Its RepoMasters card: Prototype tier. In this project, I explored how to extract structured information…

| Field | Value |
| --- | --- |
| Owner | [thu-vu92](https://repo.masters-masters.com/en/owners/thu-vu92) |
| Stars | 111 |
| Forks | 57 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [thu-vu92/structured-rag-pdf](https://github.com/thu-vu92/structured-rag-pdf) |

## Repository

In this project, I explored how to extract structured information from PDF documents, using Langchain and OpenAI models

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.