u/InevitableOk2066

I’m trying to figure out if this idea is actually doable or just looks good in YouTube demos.

I have around 7 firmware architecture/spec documents, totaling roughly 2,000–3,000 pages. These are deep technical documents (secure boot, HSE, programming flows, APIs, etc.), where everything is interconnected — not just plain text you can search.

What I want is something like:

• A “second brain” system
• Similar to Obsidian graph view
• Where concepts are actually connected meaningfully (not just embeddings)
• And I can query it without losing context or missing details

But I’m skeptical because:

• Most tools I see feel like fancy search, not real understanding
• These docs have flows, dependencies, cross-references
• I don’t want hallucinated or partial answers — it needs to be reliable

So I’m wondering:

1. Has anyone here actually built something like this for large-scale technical docs (2k–3k pages)?
2. Is a true knowledge graph from PDFs even realistic?
3. Can tools like Obsidian + Claude + NotebookLM actually work together for this?
4. Or is there a better approach people use in real-world setups?
5. How much of this ends up being manual work vs automation?

I’ve seen a lot of “AI second brain” videos, but they all feel small-scale or oversimplified.

I’m trying to figure out if this idea is actually doable or just looks good in YouTube demos.

I have around 7 firmware architecture/spec documents, totaling roughly 2,000–3,000 pages. These are deep technical documents (secure boot, HSE, programming flows, APIs, etc.), where everything is interconnected — not just plain text you can search.

What I want is something like:

• A “second brain” system
• Similar to Obsidian graph view
• Where concepts are actually connected meaningfully (not just embeddings)
• And I can query it without losing context or missing details

But I’m skeptical because:

• Most tools I see feel like fancy search, not real understanding
• These docs have flows, dependencies, cross-references
• I don’t want hallucinated or partial answers — it needs to be reliable

So I’m wondering:

1. Has anyone here actually built something like this for large-scale technical docs (2k–3k pages)?
2. Is a true knowledge graph from PDFs even realistic?
3. Can tools like Obsidian + Claude + NotebookLM actually work together for this?
4. Or is there a better approach people use in real-world setups?
5. How much of this ends up being manual work vs automation?

I’ve seen a lot of “AI second brain” videos, but they all feel small-scale or oversimplified.

Hey everyone,

I’m currently doing a firmware/embedded internship at NXP India (started in January), and my internship ends around June 26.

It’s May now and I haven’t heard anything about full-time conversion yet.

For people who’ve been in similar situations:

• When do companies usually inform about PPOs?
• Do managers give any hints beforehand?
• If you didn’t get converted, how did you approach your job search?

Hey everyone,

I’m currently doing a firmware/embedded internship at NXP India (started in January), and my internship ends around June 26.

It’s May now and I haven’t heard anything about full-time conversion yet.

For people who’ve been in similar situations:

• When do companies usually inform about PPOs?
• Do managers give any hints beforehand?
• If you didn’t get converted, how did you approach your job search?

Hey everyone,

I’m currently doing a firmware/embedded internship at NXP India (started in January), and my internship is ending around June 26.

I wanted to understand from people who have interned at NXP India (or similar semiconductor companies) — when do they usually inform about full-time conversion?

It’s May now and I haven’t heard anything about conversion yet. Is this normal, or do they usually give some signal earlier through mentors/managers?

Hey everyone,

I’m currently doing a firmware/embedded internship at NXP India (started in January), and my internship is supposed to end around late June.

Just wanted to ask if anyone here has interned at NXP India — when do they usually inform about full-time conversion? Is it something they tell well before the internship ends, or does it usually come very late?

Also, were there any clear signals from your mentor/manager before getting converted, or was it more of a last-minute decision?

It’s already may and I haven’t heard anything about conversion yet, so just trying to understand if this is normal or if I should be concerned.

Hey, I gave the NVIDIA N.Ex.T Hardware Advanced test via HackerRank (April 26). Got the submission confirmation but no update after that.

I just saw a timeline saying virtual interviews were scheduled from April 27–29, which is already over.

Did anyone actually get interview calls? Are results still coming out or is it already done?

Kinda confused if I got rejected or if there’s a delay.