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Prepare agent-neutral hardening release
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117 changed files with 3679 additions and 513 deletions
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@ -126,11 +126,9 @@ In Vestige's implementation:
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In Vestige:
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```
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importance(
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memory_id="the-important-one",
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event_type="user_flag",
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hours_back=9,
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hours_forward=2
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importance_score(
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content="the-important content",
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context_topics=["release", "memory"]
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)
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```
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@ -183,7 +181,7 @@ This gives you exact keyword matching AND semantic understanding in one search.
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- Runs 100% local (after first download)
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- Competitive with OpenAI's ada-002
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The model is cached at `~/.cache/huggingface/` after first run.
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The model is cached in the platform user cache directory after first run, with `./.fastembed_cache` as a fallback. Set `FASTEMBED_CACHE_PATH` to choose a specific cache path.
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---
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