- Implement Chain-of-Deliberation (CoD) with 8 appended [CoD] tokens for stepwise document embeddings.
- Add Self-Distillation (SD) with KL-divergence loss, including epsilon for numerical stability.
- Introduce dynamic max_length to prevent [CoD] token truncation, ensuring robust extraction.
- Add model compatibility checks for token addition and embedding resizing.
- Integrate FAISS-based retriever for efficient top-k retrieval with final CoD embeddings.
- Enhance logging and error handling for production reliability.

Addresses token placement, extraction robustness, model compatibility, and loss stability. Ready for E5 dataset and BEIR benchmark integration.