RYDE-WORK/Langchain-Chatchat
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更新运行数据库报错和项目里程碑

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zR 2024-01-14 10:46:41 +08:00
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6
README.md
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@ -142,7 +142,13 @@ $ python startup.py -a
--- ---
## 项目里程碑 ## 项目里程碑
+ `2023年4月`: `Langchain-ChatGLM 0.1.0` 发布，支持基于 ChatGLM-6B 模型的本地知识库问答。
+ `2023年8月`: `Langchain-ChatGLM` 改名为 `Langchain-Chatchat`，`0.2.0` 发布，使用 `fastchat` 作为模型加载方案，支持更多的模型和数据库。
+ `2023年10月`: `Langchain-Chatchat 0.2.5` 发布，推出 Agent 内容，开源项目在`Founder Park & Zhipu AI & Zilliz` 举办的黑客马拉松获得三等奖。
+ `2023年12月`: `Langchain-Chatchat` 开源项目获得超过 **20K** stars.
+ `2024年1月`: `LangChain 0.1.x` 推出，`Langchain-Chatchat 0.2.x` 停止更新和技术支持，全力研发具有更强应用性的 `Langchain-Chatchat 0.3.x`。
+ 🔥 让我们一起期待未来 Chatchat 的故事 ···
--- ---
## 联系我们 ## 联系我们
### Telegram ### Telegram

14
README_en.md
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@ -156,6 +156,16 @@ $ python startup.py -a
The above instructions are provided for a quick start. If you need more features or want to customize the launch method, The above instructions are provided for a quick start. If you need more features or want to customize the launch method,
please refer to the [Wiki](https://github.com/chatchat-space/Langchain-Chatchat/wiki/). please refer to the [Wiki](https://github.com/chatchat-space/Langchain-Chatchat/wiki/).
---
## Project Milestones
+ `April 2023`: `Langchain-ChatGLM 0.1.0` released, supporting local knowledge base question and answer based on the ChatGLM-6B model.
+ `August 2023`: `Langchain-ChatGLM` was renamed to `Langchain-Chatchat`, `0.2.0` was released, using `fastchat` as the model loading solution, supporting more models and databases.
+ `October 2023`: `Langchain-Chachat 0.2.5` was released, Agent content was launched, and the open source project won the third prize in the hackathon held by `Founder Park & Zhipu AI & Zilliz`.
+ `December 2023`: `Langchain-Chachat` open source project received more than **20K** stars.
+ `January 2024`: `LangChain 0.1.x` is launched, `Langchain-Chatchat 0.2.x` will stop updating and technical support, and all efforts will be made to develop `Langchain-Chatchat 0.3.x` with stronger applicability.
+ 🔥 Let’s look forward to the future Chatchat stories together···
--- ---
## Contact Us ## Contact Us
@ -164,9 +174,9 @@ please refer to the [Wiki](https://github.com/chatchat-space/Langchain-Chatchat/
[![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white "langchain-chatglm")](https://t.me/+RjliQ3jnJ1YyN2E9) [![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white "langchain-chatglm")](https://t.me/+RjliQ3jnJ1YyN2E9)
### WeChat Group、 ### WeChat Group
<img src="img/qr_code_67.jpg" alt="二维码" width="300" height="300" /> <img src="img/qr_code_85.jpg" alt="二维码" width="300" height="300" />
### WeChat Official Account ### WeChat Official Account

2
server/knowledge_base/kb_service/milvus_kb_service.py
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@ -53,7 +53,7 @@ class MilvusKBService(KBService):
self.milvus = Milvus(embedding_function=EmbeddingsFunAdapter(self.embed_model), self.milvus = Milvus(embedding_function=EmbeddingsFunAdapter(self.embed_model),
collection_name=self.kb_name, collection_name=self.kb_name,
connection_args=kbs_config.get("milvus"), connection_args=kbs_config.get("milvus"),
index_params=kbs_config.ge("milvus_kwargs")["index_params"], index_params=kbs_config.get("milvus_kwargs")["index_params"],
search_params=kbs_config.get("milvus_kwargs")["search_params"] search_params=kbs_config.get("milvus_kwargs")["search_params"]
) )