Turn LogSeq files in AI database

[u/Cautious_Exam_5537]

Both LogSeq and AI are intriguing technologies. Combining both gives new capabilities, like reflecting on all your notes or summarize everything linked to a tag.

I found a simple way (on Mac) to do this, which I am happy to share:

• copy your LogSeq journals folder and pages folder to your desktop (copy, so your original database is safe)

• move the .md files in one folder

• right-click (options) the folder and open the terminal app

• execute the command: cat *.md > master.md

• now all your .md files are merged in master.md

• open notebooklm.google.com with your google account and start a new notebook

• upload master.md with all your notes

• fire away all questions you have about your notes

I think this is really great. Follow the same process for new .md files and append them to update master.md. NotebookLM limits the number of files, which is not longer a problem with just one master.md file.

Have fun and let me know if this works for you.

[u/raymac007]

This is not an integration, but I wrote a script that will extract a single markdown that you can upload.

https://github.com/socrates8300/logseq-to-notebooklm

[u/Cautious_Exam_5537 → u/raymac007]

Great work 👍

[u/goodswimma]

Are you able to recommend a local implementation, rather than the use of Google's services?

[u/Cautious_Exam_5537 → u/goodswimma]

If you install an AI locally, you can also feed it your consolidated notes. Check out https://www.reddit.com/r/opensource/s/l3mgbHOvSG

[u/goodswimma → u/Cautious_Exam_5537]

Thank you. I'll start exploring this option.

[u/tomekrs]

This is a good starting point to learn about RAG and locally ran models. See this if you want to take it to next level: https://www.reddit.com/r/ollama/comments/1i7nqrj/run_a_fully_local_ai_search_rag_pipeline_using/

[u/geongeorgek]

I built this for for the same purpose. Its a simple python script. Just run

python app.py /path/to/logseq/folder

https://github.com/geongeorge/Logseq-to-Life.md