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Migration to RAGForge v2.0.0
v2.0 is the final planned feature release over v1.9. It is primarily a productization and benchmark-alignment release.
Runtime behavior
The retrieval/generation architecture from v1.9 is preserved:
- corpus-scale adaptive retrieval depth
- dynamic 2-5 chunk focused context budgets
- focused evidence sentence compression
- source-balanced/global/hierarchical/analytical retrieval
- adaptive reranker policy
- CRAG/Self-RAG controls
- Text2SQL and conditional web research
The Hard Mode multi-hop comparison case is now evaluated through Auto + Balanced and must resolve to comparison -> hierarchical. This aligns the benchmark with the recommended semantic path.
UI
- final v2.0 product hero and measured-baseline cards
- Chat/Evaluation hierarchy simplified
- recommended profile guidance surfaced
- evaluation score-card metric tiles
- duplicate Architecture runtime header fixed
- final project-status footer
Documentation/release tooling
- README rewritten as a finished product page
CHANGELOG.mdaddeddocs/FINAL_RESULTS.mdaddeddocs/PORTFOLIO_GUIDE.mdaddedscripts/release_check.pyaddedmake smokeandmake verifyadded- CI now runs compilation and the release consistency checker
Benchmark compatibility
The benchmark version is 2.0. Existing v1.9 saved reports remain historical and are not reused as current v2.0 Standard/Deep baselines.
No new runtime dependency is introduced.