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Currently the bibtex has to be entered manually,
which is inconvenient when BibTeX or any source of citations is not available.
Particularly problematic when trying to save PDF slides or webpages.

Need to find a better solution to address this issue.

Add an account associated level-of-reading record

Reality:

Expected：

And also the website cannot be opened.
What I exec:
docker run -d -p 9096:8080 -v /lires_data/:/root/.Lires --restart=always --gpus all -e OPENAI_API_BASE=xxxxxx -e OPENAI_API_KEY=xxxxx --name lrs lires:latest

Vector database offers better performace and control over vector operations, and are more suitable for large scale data.
Planning to use it to substitute current pytorch-based management system.

Maybe change doc feature on modifications:

• Addition
• Deletion
• Adding / Changing abstract
• Adding / Changing document
• AI summarize

Currently, the project planning are scheduled in readme file,
Use github issue would be a better way to keep track of the thoughts and progress.

The bibtex special characters and curly braces are not handled correctly,
for example, a bibtex author entry of:

@article{sochorova2021practical,
    author = "Sochorov{\'a}, {\v{S}}{\'a}rka and Jamri{\v{s}}ka, Ond{\v{r}}ej",
    title = "Practical pigment mixing for digital painting",
    journal = "ACM Transactions on Graphics (TOG)",
    volume = "40",
    number = "6",
    pages = "1--11",
    year = "2021",
    publisher = "ACM New York, NY, USA"
}

will not be rendered correctly.
Need to find a solution.

To visualize the document feature in frontend.
Enable interactions with the plot, possibly use plotly.js?

Resbibman is not a good name ...

Need a short, concise, insightful, marvellous, ground breaking name!

Will deprecate PyQt UI in the future and use webui as the only UI.
i.e. Move all PyQt import into resbibman.gui and make it an optional submodule

Parsing many bibtex on initializing database (DataPoint.loadInfo) can be slow due to too many entries,
May speed it up with multiprocessing.

Establish a machenism to share datapoints between libraries