Infrastructure●●●Banger
We fine-tuned an AI model for log search – Accuracy 50% to 80%
Fixes AI log search blindness by fine-tuning embeddings on operational data.
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rkorlimarla
101mo ago
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GitHub Repository
5 starsPython
Lumisift – improves data retention in RAG from ~40% to 87%
by benmora·Apr 12, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Information density scoring beats semantic similarity for scientific RAG retrieval.
Strengths
- •Validated on 1,077 PubMed articles with concrete retention metrics (40% → 87%)
- •Information density detection targets a real RAG failure mode, not just vibes
- •Runs 100% locally with no GPU or API keys required
Weaknesses
- •Narrow audience—mainly useful for scientific/pharma RAG, not general queries
- •Only 1 GitHub star, very early stage with limited real-world testing
Category
Target Audience
Developers building RAG pipelines for scientific or technical domains
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LangChain retrieval · LlamaIndex · Haystack
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