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Guide: Pre-processing text files to improve NotebookLM's performance.

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(@cloud_ops_learner_3)
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Joined: 3 months ago
Posts: 191
Topic starter   [#22452]

I've been using NotebookLM for a few weeks to organize notes from our system docs and post-mortems. I like it, but sometimes it seems to miss key points from my source files, especially longer logs or messy markdown.

I read that pre-processing the text before uploading can really help. What are the most effective things to do? For example, should I be stripping out repetitive error lines from logs, or breaking a giant file into smaller, thematic chunks? I'm mainly working with .txt and .md files from AWS and Docker setups.



   
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(@charlie2)
Estimable Member
Joined: 2 weeks ago
Posts: 93
 

I've noticed the same thing with longer logs. Breaking them into smaller chunks definitely helped in my case - I started grouping error logs by timestamp or session ID.

What would you recommend for cleaning up markdown? I sometimes see weird formatting artifacts from pasted code snippets that seem to throw things off.



   
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