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resolve the issue of naive parser (#87)

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KevinHuSh
2024-02-29 18:53:02 +08:00
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README.md
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@ -8,8 +8,7 @@ English | [简体中文](./README_zh.md)
If your machine doesn't have *Docker* installed, please refer to [Install Docker Engine](https://docs.docker.com/engine/install/)
### OS Setups
Inorder to run [ElasticSearch](https://www.elastic.co/guide/en/elasticsearch/reference/current/install-elasticsearch.html),
you need to check the following command:
Firstly, you need to check the following command:
```bash
121:/ragflow# sysctl vm.max_map_count
vm.max_map_count = 262144
@ -25,23 +24,44 @@ Add or update the following line in the file:
vm.max_map_count=262144
```
### Here we go!
## Here we go!
> If you want to change the basic setups, like port, password .etc., please refer to [.env](./docker/.env) before starting the system.
> If you change anything in [.env](./docker/.env), please check [service_conf.yaml](./conf/service_conf.yaml) which is a
> If you change anything in [.env](./docker/.env), please check [service_conf.yaml](./docker/service_conf.yaml) which is a
> configuration of the back-end service and should be consistent with [.env](./docker/.env).
> - In [service_conf.yaml](./conf/service_conf.yaml), configuration of *LLM* in **user_default_llm** is strongly recommended.
> In **user_default_llm** of [service_conf.yaml](./conf/service_conf.yaml), you need to specify LLM factory and your own _API_KEY_.
> - In [service_conf.yaml](./docker/service_conf.yaml), configuration of *LLM* in **user_default_llm** is strongly recommended.
> In **user_default_llm** of [service_conf.yaml](./docker/service_conf.yaml), you need to specify LLM factory and your own _API_KEY_.
> It's O.K if you don't have _API_KEY_ at the moment, you can specify it later at the setting part after starting and logging in the system.
> - We have supported the flowing LLM factory, and the others is coming soon:
> [OpenAI](https://platform.openai.com/login?launch), [通义千问/QWen](https://dashscope.console.aliyun.com/model),
> [智普AI/ZhipuAI](https://open.bigmodel.cn/)
> [智谱AI/ZhipuAI](https://open.bigmodel.cn/)
```bash
121:/ragflow# cd docker
121:/ragflow/docker# docker compose up
121:/ragflow/docker# docker compose up -d
```
If after a few minutes, it stops screening and halts like following picture, _**Hallelujah!**_ You have successfully launched the system.
If after about a half of minutes, use the following command to check the server status. If you can have the following outputs,
_**Hallelujah!**_ You have successfully launched the system.
```bash
121:/ragflow# docker logs -f ragflow-server
____ ______ __
/ __ \ ____ _ ____ _ / ____// /____ _ __
/ /_/ // __ `// __ `// /_ / // __ \| | /| / /
/ _, _// /_/ // /_/ // __/ / // /_/ /| |/ |/ /
/_/ |_| \__,_/ \__, //_/ /_/ \____/ |__/|__/
/____/
* Running on all addresses (0.0.0.0)
* Running on http://127.0.0.1:9380
* Running on http://172.22.0.5:9380
INFO:werkzeug:Press CTRL+C to quit
```
Open your browser, after entering the IP address of your server, if you see the flowing in your browser, _**Hallelujah**_ again!
> The default serving port is 80, if you want to change that, please refer to [ragflow.conf](./nginx/ragflow.conf),
> and change the *listen* value.
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/7dc8b73f-7890-41b4-aa09-97a417cfd20b" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/b24a7a5f-4d1d-4a30-90b1-7b0ec558b79d" width="1000"/>
</div>