0.3.0 更新规划 #2660
Replies: 162 comments 144 replies
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实现对RAG结果的评估 |
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这个目前都是各大大模型厂商在做的内容，估计不好去竞争。。。 |
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实现知识库文档内容追加 |
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这个现在也可以做呀 |
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@zRzRzRzRzRzRzR 请问现在怎么实现？好像只能重新上传新的文档？ |
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增加多模态Agent功能 |
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这个有的 |
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考虑api的稳定性和可扩展性，二开的话有这方面需求 |
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可以，之后API估计会精简很多 |
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es混合检索 |
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也不一定是ES，只要双路召回即可提升。 |
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多路召回挺好做的，改下代码就行，就是没做分布并发式多路召回 |
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怎么个改下代码就行？ |
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用chatglm3-6b实现数据分析的功能。。。。感觉很难，但是值得尝试吧 |
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chatglm3-6b本身没有这个能力，4具备但是暂时没有开源消息，会进行跟进 |
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现在就有... |
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有这个逻辑的现在，只是不知道有啥用，因为这个项目跟微调没有联起来 |
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建议增加文本切片后的人工干预功能，类似FastGPT的可以人工上调整分片后的内容。 |
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没有太理解，可视化切片吗 |
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类似这样可以调吧
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@zRzRzRzRzRzRzR 对就是您说的可视化切片，就像楼上这位朋友贴的图中的功能。 |
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对对对，这个需要的 |
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增加对话管理功能，支持本地多个对话 |
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mark一下 |
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未来的大语言模型，可以预见上下文的会提高的很快，是否可以针对上下文支持比较好的大模型，比如达到32k以上，将知识库匹配的全文给到上下文，而不是给切片 |
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那成本会很高，这个还是不太现实目前 |
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Qwen1.5-72B-Chat-AWQ支持32K上下文，Yi-34B-200K支持200K，我是售前，写的方案经常要上万字（厂商白皮书也经常是万字起），现有切片对知识库上万字的文档解析结果差强人意，基本查不到里面的特定内容，如果能 优化知识库全文匹配真的能更实用的，求优化升级！ |
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我也有这个诉求，KB的召回准确率很大程度取决于你录入的文档质量，知识库也需要合理划分，防止相互干扰。另外还需要多语言的支持。如果能有更好的RAG机制，比如Self RAG，可以让结果更好些 |
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chatglm3-6b 目前也有32K的 |
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增加对mysql等数据库的问答 |
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本地模型扛不住，这个内容可能作为一个tools开放给开发者自己适配，并加入到Agent系统内 |
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新版本是否可以支持GLM-4的在线api调用？ |
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这个肯定可以 |
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支持多agent 增加agent的使用场景和实用性 |
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本地模型扛不住，我们大概率不会再0.3.0推出，会在0.3.x后期版本做 |
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多agent 现在可以实现吗？
***@***.***
…------------------ 原始邮件 ------------------
发件人: ***@***.***>;
发送时间: 2024年1月18日(星期四) 下午5:29
收件人: ***@***.***>;
抄送: ***@***.***>; ***@***.***>;
主题: Re: [chatchat-space/Langchain-Chatchat] 0.3.0 更新规划 (Discussion #2660)
现在就有...
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本地模型扛不住，我们大概率不会再0.3.0推出，会在0.3.x后期版本做 |
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希望有Tools的开关功能，可以放在API的请求参数里面，用户在使用Agent问答时可以自由控制需要用到哪些Tools，降低每次请求时使用错误工具的风险以及无用工具的数量。 |
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希望可以增加对于http api的调用，或者给个示例也可以。 |
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这个fastgpt是否可以？ |
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啥时候更新，在不更新就快要没市场了，千万别起个大早，赶个大晚 |
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现在Q2了 还不发布？ |
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这是开源项目，看commit情况，主力贡献人员太少了，估计压力也大-------- 原始邮件 --------发件人： ln410 ***@***.***>日期： 2024年5月9日周四 09:54收件人： chatchat-space/Langchain-Chatchat ***@***.***>抄送： Roger ***@***.***>, Comment ***@***.***>主 题： Re: [chatchat-space/Langchain-Chatchat] 0.3.0 更新规划 (Discussion #2660)
现在Q2了 还不发布？
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最好还是把目前情况下放出来，开源项目需要借助更多人的力量 |
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期待3.0，同时正在努力学习代码，将来能为项目做贡献。 |
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会新增权限管理功能吗？ |
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很有价值，同时也像包括langfuse的接口能 |
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希望可以对自己做的Lora等微调过后的模型的支持 |
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mark一下 |
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增加匹配准确度就解决大问题了。有时候完全一样的一句话抖匹配不到 |
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早早就可以了 |
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请问是否有0.3 dev 的交流群？目前里面的代码、文档、测试案例都非常的混乱，希望交流下 |
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#4003 模型热加载能力 |
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支持加载llam-factory，lora微调的模型 |
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你是合并模型了么？这看着也不像那个适配器模型的文件夹啊 |
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是合并了 ，难道是要用这个么 |
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合并的模型直接按正常加载就可以啊，上面说的步骤确实是针对你刚发的这个的，不过模型文件不能保存成safetensor |
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这个checkpoint是在适配器文件夹保存的，我也没找到在哪里修改，让他保存成.bin文件。老哥你的意思是应该加载这个checkpoint还是Qwen-peft这个模型啊，Qwen-peft这个文件夹是我最后导出的，他就没有adapter_config.json这个文件 |
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这个mark一下 |
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self adapt rag能搞么 |
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希望增加基于语义的段落分割 |
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对的，类似fastgpt中的那种 |
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相当于有两种方法加载，第一种合并完以后把他当成一个普通模型（没有微调过）来加载。第二种是把适配器文件名改成peft，然后按上面的步骤加载。微调参数里加一个save_safetensor false就能保存成bin
…---- 回复的原邮件 ----
| 发件人 | ***@***.***> |
| 日期 | 2024年05月15日 16:02 |
| 收件人 | ***@***.***> |
| 抄送至 | ***@***.***>***@***.***> |
| 主题 | Re: [chatchat-space/Langchain-Chatchat] 0.3.0 更新规划 (Discussion #2660) |
这个checkpoint是在适配器文件夹保存的，我也没找到在哪里修改，让他保存成.bin文件。老哥你的意思是应该加载这个checkpoint还是Qwen-peft这个模型啊，Qwen-peft这个文件夹是我最后导出的，他就没有adapter_config.json这个文件
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老哥方便留个联系方式么，请你喝杯咖啡。我先去试一下，后续有问题可以再问问你么，感谢🙏。 |
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简单梳理一下需求：
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and others
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随着 LangChain 0.1.x 的更新和 LLM 技术的迭代，
Langchain-Chatchat 0.2.x已经无法满足日益增长的入门实战需求。随着
Langchain-Chatchat 0.2.10的发布，0.2.x内容在不在进行维护和支持。我们预计会在 2024 Q1 推出 Langchain-Chatchat 0.3.0.
Langchain-Chatchat 0.3.x系列将进行大规模的重写，包括但不限于请注意，Langchain-Chatchat 作为 开源，非商业性 的 RAG 框架，其主要目的是让更多人能体验到最新的大模型RAG相关技术和应用，项目更多在内容上进行更新，因此不会优先考虑以下需求
如果你对我们有什么期待，可以在这个公告下面提出。
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