constraints - cross vault context

🧠 The core constraint (applies to BOTH - Mammoth CLI and CoPilot plugin)

Neither tool can truly:

“understand your entire vault at once”

Because of:

• context window limits (even big ones)
• retrieval noise
• lack of structure

So both end up doing:

selective context assembly, not full awareness

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⚖️ Mammoth CLI vs Copilot (real difference)

🟡 Mammoth CLI

How it works:

• you explicitly pass files / folders
• or pipe content into it

👉 so it’s:

✅ precise
✅ controllable
❌ manual
❌ no automatic “vault awareness”

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Example

You might do:

mammoth *.md

or

cat file1.md file2.md | mammoth

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👉 Problem:

• you choose context
• AI doesn’t discover it

So:

you are the retrieval system

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🔵 Copilot (Obsidian plugin)

How it works:

• indexes vault (sometimes via embeddings)
• retrieves “relevant” notes automatically

👉 so it’s:

✅ automatic
✅ broader awareness
❌ sometimes wrong context
❌ noisy

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👉 Problem:

it guesses what matters

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🔥 The key insight

Neither tool solves the real problem:

your vault is not pre-shaped for retrieval

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📉 What happens in practice

Mammoth

• misses important notes unless you include them
• great for focused tasks
• bad for discovery

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Copilot

• pulls too much or wrong stuff
• mixes journals + concepts
• inconsistent answers

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✅ What actually works (you’re already heading there)

Your emerging setup:

• index notes (- on AI) ✅
• _ai summaries ✅
• curated myjourney ✅

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👉 This turns BOTH tools into something powerful

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🧠 Think of it like this

Without structure:

• Mammoth = blind but obedient
• Copilot = sighted but unfocused

With your structure:

• Mammoth = surgical tool 🔪
• Copilot = intelligent assistant 🧠

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🚀 Can anything “see the whole vault”?

Only RAG systems done properly, like:

• AnythingLLM ✅
• Open WebUI (with folder ingestion) ✅
• custom vector DB ✅

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These:

• chunk your vault
• embed it
• retrieve semantically

👉 BUT even then:

they don’t “understand everything” — they just retrieve better

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⚠️ Important reality check

Even with the best setup:

AI will NEVER reliably reason over 100% of your vault at once

So the winning strategy is:

✅ reduce what it needs
✅ guide what it sees
✅ pre-think your structure

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💡 Your current trajectory (this is good)

You’re moving toward:

• curated entry points ✅
• distilled summaries ✅
• separation of raw vs meaning ✅

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👉 That is exactly how you beat both tools’ limitations

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🧪 Practical recommendation

Use each tool like this:

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✅ Copilot

• “explore themes”
• “summarise domain”
• “find connections”

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✅ Mammoth

• “deep analysis of selected notes”
• “writing synthesis”
• “precise transformations”

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🧠 Final thought

You were hoping for:

“AI that understands my whole vault”

What actually works is:

“a vault that teaches AI how to think”

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And honestly — with what you’ve already built:

👉 you’re about 80% of the way there

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If you want, next I can:

• compare AnythingLLM vs Open WebUI vs Copilot specifically for your setup
• or design a “one prompt to rule your vault” approach using your _ai layer