mirror of
https://github.com/wassname/evil_MoE.git
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wassname
4fcce164f7
Harness path ~/.claude/projects/.../memory was a real dir that had diverged
from the repo copy (the 9c188f6 symlink targeted /root, not this box's home).
Merged the two harness-only memories in and re-pointed the harness path at the
repo via symlink, so future auto-writes land in-project.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
23 lines
1007 B
Markdown
23 lines
1007 B
Markdown
---
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name: qmd-prefer-lexical
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description: "Default to lexical search (qmd search / rg) on the papers corpus, not vector/semantic"
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metadata:
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node_type: memory
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type: feedback
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originSessionId: dfb6617b-8e6e-4008-96e0-81669fc600b4
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---
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For local paper search, default to lexical: `qmd search` (BM25) or `rg`, NOT
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`qmd vsearch`/`qmd query` (vector/HyDE/rerank).
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**Why:** (1) wassname finds vector search rarely helps him. (2) The big `papers`
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qmd collection (~48k files) is ~93% unembedded, so semantic modes fall back to
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junk there. (3) He cannot fit the embeddings on his PC, so `qmd embed` is not a
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real fix.
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**How to apply:** When dispatching search agents over the local corpus, instruct
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them to use `qmd search`/`rg` first and reach for `qmd query` only as a last
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resort on a small embedded collection (e.g. markdown-notes). A subagent once
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burned ~5 min and crashed (exit 144) running `qmd query` over `papers`; lexical
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returns in milliseconds. Do not suggest running `qmd embed` on his machine.
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