add local llm implementation (#119)

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KevinHuSh
2024-03-12 11:57:08 +08:00
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parent 0452a6db73
commit f1f09df901
17 changed files with 196 additions and 25 deletions

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@ -21,7 +21,7 @@
</a>
</p>
[RAGFLOW](http://ragflow.io) is a knowledge management platform built on custom-build document understanding engine and LLM,
[RagFlow](http://ragflow.io) is a knowledge management platform built on custom-build document understanding engine and LLM,
with reasoned and well-founded answers to your question. Clone this repository, you can deploy your own knowledge management
platform to empower your business with AI.
@ -29,12 +29,12 @@ platform to empower your business with AI.
<img src="https://github.com/infiniflow/ragflow/assets/12318111/b24a7a5f-4d1d-4a30-90b1-7b0ec558b79d" width="1000"/>
</div>
# Features
# Key Features
- **Custom-build document understanding engine.** Our deep learning engine is made according to the needs of analyzing and searching various type of documents in different domain.
- For documents from different domain for different purpose, the engine applys different analyzing and search strategy.
- Easily intervene and manipulate the data proccessing procedure when things goes beyond expectation.
- Multi-media document understanding is supported using OCR and multi-modal LLM.
- **State-of-the-art table structure and layout recognition.** Precisely extract and understand the document including table content. [README](./deepdoc/README.md)
- **State-of-the-art table structure and layout recognition.** Precisely extract and understand the document including table content. See [README.](./deepdoc/README.md)
- For PDF files, layout and table structures including row, column and span of them are recognized.
- Put the table accrossing the pages together.
- Reconstruct the table structure components into html table.