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AegisLLM is a production-grade LLM system with hybrid retrieval (FAISS + BM25 + RRF), real-time streaming ingestion, and semantic context optimization. It ensures high accuracy (96% Recall@5), reduces token cost by 38%, and enforces safety via multi-layer guardrails and grounding validation.
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chore: Remove development walkthroughs for professional repository presentation
1d9af04View on GitHubdocs: Include research-grade ablation study and senior ML systems audit report
c2a7c4eView on GitHubfeat: Final Production Release v1.0.0 | Elite Hybrid Retrieval | 3-Layer Safety Shield | Continual Learning Infrastructure
8579b19View on GitHub