## Getting Started
### Prerequisites
#### **For Linux**
|**System**| **Required item** | **Minimum Requirement** | **Note** |
|---------------------------|--------------------------|---------------------------|-------------------------------------------------------------------------|
|Linux | Single NVIDIA GPU Memory <br> or Double NVIDIA GPU Memory | >= 16GB <br> >= 11GB + 5G | NVIDIA 3090 x 1 recommended <br> NVIDIA 2080TI × 2 recommended |
| | NVIDIA Driver Version | >= 525.105.17 | |
| | CUDA Version | >= 12.0 | |
| | Docker version | >= 20.10.5 | [Docker install](https://docs.docker.com/engine/install/) |
| | docker compose version | >= 2.23.3 | [docker compose install](https://docs.docker.com/compose/install/) |
#### **For Winodws 11 with WSL 2**
|**System**| **Required item** | **Minimum Requirement** | **Note** |
|---------------------------|--------------------------|---------------------------|-----------------------------------------------------------------------------------------------|
|Windows 11 with WSL 2| Single NVIDIA GPU Memory <br> or Double NVIDIA GPU Memory | >= 16GB <br> >= 11GB + 5G | NVIDIA 3090 <br> NVIDIA 2080TI × 2 | |
| | GEFORCE EXPERIENCE | >= 546.33 |[GEFORCE EXPERIENCE download](https://us.download.nvidia.com/GFE/GFEClient/3.27.0.120/GeForce_Experience_v3.27.0.120.exe) | |
| | Docker Desktop | >= 4.26.1(131620) | [Docker Desktop for Windows](https://docs.docker.com/desktop/install/windows-install/) |
### Installation
### step1: get this pro
### step2: Enter the project root directory and execute the startup script.
If you are in the Windows11 system: Need to enter the WSL environment.
```shell
cd QAnything
bash run.sh # Start on GPU 0 by default.
```
<details>
<summary>(Optional) Specify GPU startup</summary>
```shell
cd QAnything
bash run.sh 0 # gpu id 0
```
</details>
<details>
<summary>(Optional) Specify multi-GPU startup </summary>
```shell
cd QAnything
bash run.sh 0,1 # gpu ids: 0,1, Please confirm how many GPUs are available. Supports up to two cards for startup.
```
</details>
### step3: start to experience
#### Front end
After successful installation, you can experience the application by entering the following addresses in your web browser.
- Front end address: http://`your_host`:5052/qanything/
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AIGC项目-搭建本地知识库问答系统实现任何事物的问答-项目实战-附完整详细流程教程.zip (199个子文件)
prompt.conf 471B
.env.development 115B
Dockerfile 4KB
.eslintignore 54B
index.html 699B
rag_eval_multiple_domains_summary.jpg 1.28MB
two_stage_retrieval.jpg 294KB
Wechat.jpg 172KB
.eslintrc.js 1KB
writeVersion.js 297B
.prettierrc.js 258B
test.js 66B
tokenizer.json 2.73MB
package.json 2KB
tsconfig.json 1KB
config.json 845B
config.json 717B
tokenizer_config.json 316B
tokenizer_config.json 274B
tokenizer_config.json 196B
special_tokens_map.json 112B
special_tokens_map.json 112B
API.md 16KB
CODE_OF_CONDUCT.md 3KB
README.md 3KB
CONTRIBUTING.md 2KB
README.md 816B
SECURITY.md 772B
web_qa.mp4 4.51MB
various_files_qa.mp4 2.87MB
multi_paper_qa.mp4 1.88MB
usage.mp4 1.43MB
information_extraction.mp4 1.14MB
qanything_arch.png 277KB
favicons.png 185KB
qanything_logo.png 121KB
icon-file.png 12KB
logo-small.png 7KB
ai-avatar.png 4KB
avatar.png 2KB
icon-loading.png 1KB
icon-search.png 1KB
icon-reload.png 856B
icon-back.png 731B
icon-home.png 583B
icon-folder.png 517B
icon-add.png 447B
icon-email.png 393B
icon-document.png 305B
.env.production 115B
handler.py 22KB
local_doc_qa.py 12KB
mysql_client.py 12KB
milvus_client.py 12KB
llm_server_entrypoint.py 11KB
tokenization_qwen.py 9KB
modeling_qwen.py 8KB
mysql_statics.py 7KB
llm_for_local.py 7KB
template.py 7KB
multi_local_chat_qa.py 6KB
local_file.py 6KB
sanic_api.py 5KB
general_utils.py 5KB
rerank_server_backend.py 5KB
multi_upload_files.py 3KB
chinese_text_splitter.py 3KB
ZhTitleEnhance.py 3KB
my_recursive_url_loader.py 3KB
embedding_for_online.py 3KB
embedding_client.py 3KB
model_config.py 3KB
llm_for_online.py 3KB
pdf_loader.py 2KB
image_loader.py 2KB
embedding_for_local.py 1KB
ocr_server.py 1KB
rerank_server.py 1KB
local_chat_qa.py 997B
utils.py 964B
base.py 703B
__init__.py 202B
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