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- this needs to be scalable and easy to add recursion to (because then we can do this for subheaders and so on)
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- the end goal is to have a scalable solution to answer queries about extremely large documents for impossibly vast questions
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- use apprise instead of ntfy for the scripts
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- refactor the loader to make a much lighter install, that rely on external parser or docling or crawl4ai etc. Possibly via "wdoc[full]" and "wdoc[lite]"
- Way to add the title (or all metadata) of a document to its own text. Enabled by default. Because this would allow searching among many documents that don't refer to the original title (for example: material safety datasheets)
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- default value is "author" "page" title"
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- add an obsidian loader
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-https://pypi.org/project/obsidiantools/
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- add a /chat command to the prompt, it would enable starting an interactive session directly with the llm
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- make sure to expose loaders and batch_loader to make it easy to import by others
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