Merge pull request #93 from gomate-community/pipeline

Pipeline

README.md

@@ -26,7 +26,7 @@ The core design of TrustRAG lies in its **high configurability and modularity**,
 **“Reliable input, Trusted output”**
 
 ## 🎉 Changelog
-
+- Supports vector database engines, such as Milvus and Qdrant.
 - Support for multimodal RAG question-answering, API using **GLM-4V-Flash**, code available at [trustrag/applications/rag_multimodal.py](trustrag/applications/rag_multimodal.py)
 - TrustRAG packaging and build, supporting both pip and source installation
 - Added [MinerU document parsing](https://github.com/gomate-community/TrustRAG/blob/main/docs/mineru.md): A one-stop open-source high-quality data extraction tool, supporting PDF/webpage/multi-format e-book extraction `[20240907]`

README_zh.md

@@ -29,6 +29,7 @@ TrustRAG框架的设计核心在于其**高度的可配置性和模块化**，
 
 ## 🎉 更新记录
 
+- 🔥支持向量数据库引擎，例如Milvus，Qdrant等-`[20250120]`
 - 支持多模态RAG问答，API使用**GLM-4V-Flash**，代码见[trustrag/applications/rag_multimodal.py](trustrag/applications/rag_multimodal.py)
 - TrustRAG 打包构建，支持pip和source两种方式安装
 - 添加[MinerU文档解析](https://github.com/gomate-community/TrustRAG/blob/main/docs/mineru.md)