Pipeline

app_paper.py

@@ -10,21 +10,21 @@
 import os
 import shutil
 import time
+from datetime import datetime
+
 import gradio as gr
 import loguru
 import pandas as pd
-from anyio import value
+import pytz
 
 from trustrag.applications.rag_openai_bge import RagApplication, ApplicationConfig
 from trustrag.modules.reranker.bge_reranker import BgeRerankerConfig
 from trustrag.modules.retrieval.dense_retriever import DenseRetrieverConfig
-from datetime import datetime
-import pytz
+
 # ========================== Config Start====================
 app_config = ApplicationConfig()
 app_config.docs_path = r"H:\Projects\TrustRAG\data\docs"
-# app_config.key = "sk-04031f18c05a4dd5a561d33d984ca40f"
-app_config.key = "sk-gDbFoQAYz9pwqBsH0aPA1H8DN9s0B9F3vWNjjPcijRBFjk7f"
+app_config.key = "sk-xxx"
 retriever_config = DenseRetrieverConfig(
     model_name_or_path=r"H:\pretrained_models\mteb\bge-large-zh-v1.5",
     dim=1024,

docs/index.html

@@ -5,6 +5,8 @@
   <title>TrustRAG - 可靠输入与可信输出的RAG框架</title>
   <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" />
   <meta name="description" content="TrustRAG是一款配置化模块化的Retrieval-Augmented Generation (RAG) 框架">
+  <meta name="author" content="网络数据科学与技术重点实验室 GoMate团队">
+  <meta name="keywords" content="RAG, TrustRAG, 检索增强生成, GoMate, 中科院">
   <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0">
   <link rel="stylesheet" href="//cdn.jsdelivr.net/npm/docsify@4/lib/themes/vue.css">
   <link rel="icon" href="https://github.com/gomate-community.png" type="image/png">
@@ -52,6 +54,33 @@
             var editHtml = '[:memo: 编辑此页](' + url + ')\n'
             return editHtml + html
           })
+        },
+        function(hook, vm) {
+          hook.afterEach(function (html, next) {
+            var footer = `
+            <hr style="margin-top: 50px; border: none; border-top: 1px solid #eee;">
+            <div style="text-align: center; padding: 20px; color: #666; font-size: 14px; line-height: 1.6;">
+              <div style="margin-bottom: 15px;">
+                <strong>🏛️ 研究与开发团队</strong><br>
+                本项目由网络数据科学与技术重点实验室 <a href="https://github.com/gomate-community" target="_blank" style="color: #42b983; text-decoration: none;"><strong>GoMate</strong></a> 团队完成<br>
+                团队指导老师为郭嘉丰、范意兴研究员
+              </div>
+              <div style="background: #f8f9fa; padding: 15px; border-radius: 8px; margin: 15px 0; text-align: left; font-family: 'Courier New', monospace; font-size: 12px;">
+                <strong>📄 Citation</strong><br>
+                <code style="display: block; white-space: pre-wrap; color: #333;">@article{fan2025trustrag,
+  title={TrustRAG: An Information Assistant with Retrieval Augmented Generation},
+  author={Fan, Yixing and Yan, Qiang and Wang, Wenshan and Guo, Jiafeng and Zhang, Ruqing and Cheng, Xueqi},
+  journal={arXiv preprint arXiv:2502.13719},
+  year={2025},
+  url={https://arxiv.org/abs/2502.13719}
+}</code>
+              </div>
+              <div style="font-size: 12px; color: #999;">
+                © 2025 GoMate Team. All rights reserved.
+              </div>
+            </div>`
+            next(html + footer)
+          })
         }
       ]
     }

docs/install.md

@@ -1,4 +1,5 @@
 ## 安装环境
+> python 3.12
 
 下面是建议安装步骤
 - 第一步：设置pip清华源

trustrag/applications/rag.py

@@ -88,4 +88,4 @@ def chat(self, question: str = '', top_k: int = 5):
         #     selected_idx=[idx for idx in range(len(contents))],
         #     markdown=True
         # )
-        return result, history, contents
+        return result, history, contents,question