[RagFlow](https://demo.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.
## 💡 What is RagFlow?
[RagFlow](http://demo.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.
- 🍭**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.
- For documents from different domain for different purpose, the engine applies 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. See [README.](./deepdoc/README.md)
If **vm.max_map_count** is not greater than 65535:
```bash
$ sudo sysctl -w vm.max_map_count=262144
```
Note that this change is reset after a system reboot. To render your change permanent, add or update the following line in **/etc/sysctl.conf**:
> To check the value of `vm.max_map_count`:
>
> ```bash
> $ sysctl vm.max_map_count
> ```
>
> Reset `vm.max_map_count` to a value greater than 65535 if it is not. In this case, we set it to 262144:
>
> ```bash
> $ sudo sysctl -w vm.max_map_count=262144
> ```
>
> This change will be reset after a system reboot. To ensure your change remains permanent, add or update the following line in **/etc/sysctl.conf** accordingly:
>
> ```bash
> vm.max_map_count=262144
> ```
```bash
vm.max_map_count=262144
```
### Install docker
If you have not installed *Docker* on your local machine, see [Install Docker Engine](https://docs.docker.com/engine/install/)
Open your browser, enter the IP address of your server, _**Hallelujah**_ again!
> The default serving port is 80, if you want to change that, refer to the [docker-compose.yml](./docker-compose.yaml) and change the left part of *'80:80'*'.
In your browser, enter the IP address of your server.
> The default serving port is 80, if you want to change that, refer to the [docker-compose.yml](./docker-compose.yaml) and change the left part of `80:80`, say `66:80`.
If you need to change the default setting of the system when you deploy it. There several ways to configure it.
Please refer to this [README](./docker/README.md) to manually update the configuration.
After changing something, please run*docker-compose up -d* again.
Updates to system configurations require a system reboot to take effect*docker-compose up -d* again.
> If you want to change the basic setups, like port, password .etc., please refer to [.env](./docker/.env) before starting up the system.
...
...
@@ -141,15 +157,12 @@ After changing something, please run *docker-compose up -d* again.
See the [RagFlow Roadmap 2024](https://github.com/infiniflow/ragflow/issues/162)
## 🏄Community
## 🏄Community
-[Discord](https://discord.gg/uqQ4YMDf)
- X
-[GitHub Discussions]()
- YouTube
- WeChat
-[Twitter](https://twitter.com/infiniflowai)
- GitHub Discussions
## 🙌 Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/infiniflow/ragflow/blob/main/CONTRIBUTING.md).
RagFlow flourishes via open-source collaboration. In this spirit, we embrace diverse contributions from the community. If you would like to be a part, review our [Contribution Guidelines](https://github.com/infiniflow/ragflow/blob/main/CONTRIBUTING.md) first.
