Closed wwjCMP closed 6 months ago
Do you have a specific screenshot of what you would like to see?
Doesn't it already do that? Or do you mean the markers among the sentences specifically
Very strange, I haven't achieved this effect here, I'm using GEMINI PRO
I found that I did not correctly index my valut
It is necessary to add a feature to skip index timeout files, as there will always be some files blocking the progress during the index process
Always stuck in this number
What's the problem with this
What's the problem with this
I haven't seen Cohere CORS issue before, but there's 1 line showing a local call with CORS issue. Was your embedding model set as Cohere or ollama? If ollama, you must start the server with the right env variable as mentioned in the local copilot setup guide.
As for the indexing exclusion, it is coming in the next release https://github.com/logancyang/obsidian-copilot/issues/334
这有什么问题
我以前没有见过 Cohere CORS 问题,但有 1 行显示存在 CORS 问题的本地调用。您的嵌入模型设置为 Cohere 还是 ollama?如果是 ollama,您必须使用本地 copilot 设置指南中提到的正确环境变量启动服务器。
至于索引排除,它将在下一个版本中出现#334
I can use Ollma by starting it correctly, but its performance is really poor
(obsidian://open?vault=scientific research&file=2022-%E4%BA%8C%E7%A1%AB%E5%8C%96%E9%92%BC%E7%9A%84%E7%94%B5%E5%AD%90%E8%83%BD%E5%B8%A6%E7%BB%93%E6%9E%84%E5%92%8C%E4%BD%8E%E6%B8%A9%E8%BE%93%E8%BF%90%E5%AE%9E%E9%AA%8C%E8%BF%9B%E5%B1%95) This part of the answer is not necessary, sometimes it can go wrong. We just need to know the file information
这有什么问题
我以前没有见过 Cohere CORS 问题,但有 1 行显示存在 CORS 问题的本地调用。您的嵌入模型设置为 Cohere 还是 ollama?如果是 ollama,您必须使用本地 copilot 设置指南中提到的正确环境变量启动服务器。 至于索引排除,它将在下一个版本中出现#334
I can use Ollma by starting it correctly, but its performance is really poor
The poor performance is unbelievable, and I doubt whether the entire workflow is executed correctly. My valut is in Chinese
@wwjCMP the nomic embedding model is English only, you need OpenAI embedding models for Chinese
@wwjCMP the nomic embedding model is English only, you need OpenAI embedding models for Chinese
i got it
@wwjCMP the nomic embedding model is English only, you need OpenAI embedding models for Chinese
I found it wasn't just the voice that was the problem. Even if I use the Chinese local embedding model and the referenced file also contains relevant content, the large model still cannot output valid content. It's either that I can't answer or just a few simple words.
LLM:GEMINI PRO embedding:Dmeta-embedding-zh , through ollama
Relevant literature can be retrieved, but valid answers cannot be generated
(obsidian://open?vault=scientific research&file=2022-%) Cannot be displayed as a correct link, only displayed as name plus link
@wwjCMP how did you use embedding:Dmeta-embedding-zh , through ollama
? Through proxy? I thought it's broken now https://github.com/logancyang/obsidian-copilot/issues/332
Or do you mean you created an ollama custom model to be served from the ollama local server? I haven't tried that yet.
By Relevant literature can be retrieved, but valid answers cannot be generated
, do you mean you can see things below "sources"? Then the vector search should be fine. Gemini pro should work with Chinese. Can you attach screenshots with you chat along with the console
@wwjCMP sorry I think you mentioned before but I forgot, what are some of the best LLM proxy API providers now? Best if they are free, I need to test the override feature with them.
@wwjCMP how did you use
embedding:Dmeta-embedding-zh , through ollama
? Through proxy? I thought it's broken now #332Or do you mean you created an ollama custom model to be served from the ollama local server? I haven't tried that yet.
By
Relevant literature can be retrieved, but valid answers cannot be generated
, do you mean you can see things below "sources"? Then the vector search should be fine. Gemini pro should work with Chinese. Can you attach screenshots with you chat along with the console
I simply named it nomic-embed-text when using the self-built model. It seems that this is just what is needed for copilot to be able to call it.
For ollama, it seems that various customized models can be deployed, and they only need to be converted into gguf format, but the performance has not been tested.
{This article does not mention vacancy regulation. Sources: [Research-2024-Fund-Transition Metal Disulfides-Vacancy Regulation](obsidian://open?vault=scientific research&file=%E8%B0%83%E7%A0%94-2024-%E5%9F% BA%E9%87%91-%E8%BF%87%E6%B8%A1%E9%87%91%E5%B1%9E%E4%BA%8C%E7%A1%AB%E5%8C%96 %E7%89%A9-%E7%A9%BA%E4%BD%8D%E8%B0%83%E6%8E%A7) [2020-Introduction of coupling in Ni-doped CoSe by interlayer deintercalation method Vacancy pairs to improve electrocatalytic hydrogen production performance](obsidian://open?vault=scientific research&file=2020-%E9%80%9A%E8%BF%87%E5%B1%82%E9%97%B4%E8 %84%B1%E6%8F%92%E5%85%A5%E6%B3%95%E5%9C%A8Ni%E6%8E%BA%E6%9D%82CoSe%E4%B8%AD%E5%BC %95%E5%85%A5%E8%80%A6%E5%90%88%E7%9A%84%E7%A9%BA%E4%BD%8D%E5%AF%B9%2C%E6%94 %B9%E5%96%84%E7%94%B5%E5%82%AC%E5%8C%96%E5%88%B6%E6%B0%A2%E6%80%A7%E8%83%BD ) [2022-Improving the intrinsic activity and selectivity of single-atom Rh in syngas-c2 oxygenates by modifying local coordination atoms](obsidian://open?vault=scientific research&file=2022-%E9%80% 9A%E8%BF%87%E4%BF%AE%E9%A5%B0%E5%B1%80%E9%83%A8%E9%85%8D%E4%BD%8D%E5%8E%9F% E5%AD%90%EF%BC%8C%E6%8F%90%E9%AB%98%E5%90%88%E6%88%90%E6%B0%94-%20c2%E6%B0%A7 %E5%90%88%E7%89%A9%E4%B8%AD%E5%8D%95%E5%8E%9F%E5%AD%90Rh%E7%9A%84%E6%9C%AC%E5 %BE%81%E6%B4%BB%E6%80%A7%E5%92%8C%E9%80%89%E6%8B%A9%E6%80%A7) [Literature Knowledge Notes: Heterojunction ( Spin+Valley) valve](obsidian://open?vault=scientific research&file=%E6%96%87%E7%8C%AE%E7%9F%A5%E8%AF%86%E7%AC%94% E8%AE%B0%EF%BC%9A%E5%BC%82%E8%B4%A8%E7%BB%93(%E8%87%AA%E6%97%8B%2B%E8%B0%B7 )%E9%98%80) [2021-Steric hindrance and functional promotion of high performance in electrochemical CO methanation on MoS2 and WS2 anti-site defects](obsidian://open?vault=scientific research&file=2021-%E7 %A9%BA%E9%97%B4%E4%BD%8D%E9%98%BB%E5%92%8C%E5%8A%9F%E8%83%BD%E4%BF%83%E8%BF %9B%E7%94%B5%E5%8C%96%E5%AD%A6%20CO%20%E7%94%B2%E7%83%B7%E5%8C%96%E5%9C%A8%20MoS2 %20%E5%92%8C%20WS2%20%E5%8F%8D%E4%BD%8D%E7%BC%BA%E9%99%B7%E4%B8%8A%E7%9A%84%E9 %AB%98%E6%80%A7%E8%83%BD) [2019-Coordinated project to reduce carbon dioxide with cobalt nitrogen functionalized materials](obsidian://open?vault=scientific research&file=2019-%E9%92% B4%E6%B0%AE%E5%8A%9F%E8%83%BD%E5%8C%96%E6%9D%90%E6%96%99%E5%87%8F%E5%B0%91% E4%BA%8C%E6%B0%A7%E5%8C%96%E7%A2%B3%E7%9A%84%E5%8D%8F%E8%B0%83%E5%B7%A5%E7% A8%8B) [Coordination number](obsidian://open?vault=scientific research&file=%E9%85%8D%E4%BD%8D%E6%95%B0) [2021-Metal nitrogen doping for CO2 electroreduction Heterocarbon single-atom electrocatalyst](obsidian://open?vault=scientific research&file=2021-CO2%E7%94%B5%E8%BF%98%E5%8E%9F%E7%94%A8%E9%87 %91%E5%B1%9E%E6%B0%AE%E6%8E%BA%E6%9D%82%E7%A2%B3%E5%8D%95%E5%8E%9F%E5%AD%90 %E7%94%B5%E5%82%AC%E5%8C%96%E5%89%82)} i translate it in English
Great! Let's dive into the properties of MoS2.
Electronic Properties:
Catalytic Activity:
Applications:
Structural Variations:
Synthesis and Characterization:
These are some key aspects. Let me know if you need more detailed information on any specific topic!
Sources:
I switched my LLM to qwen1.5 LM studio and it can output correctly, but the speed is much slower than usual. It seems that the problem occurs with GEMINI PRO. There is also the performance degradation caused by mixing Chinese and English. I hope that langchain will provide Chinese switching options in the future. Like here, I asked a question in Chinese, but the answer was in English. This creates a bad experience.
Another problem is that the content retrieved through the embedding model contains a large number of link content, such as web links, external jump links, and internal embedded links (pictures, di-directional links, etc.). These contents are worthless for LLM to product answers . I wonder if they can be excluded from the langchain in exchange for more valid tokens.
When there are continuous conversations in QA vault mode, do not use the source content at the end of the above conversation as memory input. This part seems to be worthless.
I used Google Translate for my answer, there may be many errors, please forgive me.
Just write Chinese,谷歌翻译太奇怪完全看不懂😅
可以加入我们的discord,在contribute那里最下面
好的,上面说的几点是
可以加入我们的discord,在contribute那里最下面
找不到discord链接在哪里
更新2.5.1之后,嵌入模型不起作用了
@wwjCMP 有试clear vector store 然后重新index吗
@wwjCMP 有试clear vector store 然后重新index吗
重新index之后可以了
gemini 这个最后的链接显示不正确有办法处理吗
Is it possible to list the contents of which files were referenced in the answer in Valut QA mode? Just like Microsoft's copilot.