- Added `optimization-plan.md` detailing strategies to reduce response latency and improve training throughput.
- Enhanced performance analysis in `performance-analysis.md` with identified bottlenecks and completed optimizations.
- Created `productContext.md` summarizing project goals, user scenarios, and implementation priorities.
- Developed `markov-store.ts` for high-performance serialized chain storage with alias method sampling.
- Implemented database performance indexes in `1704067200000-AddPerformanceIndexes.ts`.
- Introduced `markov-worker.ts` for handling CPU-intensive operations in separate threads.
- Established a worker pool in `worker-pool.ts` to manage multiple worker threads efficiently.