Settings
Configure advanced search features and optimizations
Cross-Encoder Re-ranking
Disabled
Two-Stage Retrieval Pipeline:
Stage 1 (Bi-Encoder): Fast initial retrieval of candidate documents
Stage 2 (Cross-Encoder): Accurate re-ranking by analyzing query+document pairs together
Cross-encoders see the full context of both query and document, catching nuances that bi-encoders miss. This can significantly improve result quality at the cost of slightly slower search.
Stage 1 (Bi-Encoder): Fast initial retrieval of candidate documents
Stage 2 (Cross-Encoder): Accurate re-ranking by analyzing query+document pairs together
Cross-encoders see the full context of both query and document, catching nuances that bi-encoders miss. This can significantly improve result quality at the cost of slightly slower search.
Model:
cross-encoder/ms-marco-MiniLM-L-6-v2
Enable Cross-Encoder Re-ranking
Use a cross-encoder to re-rank search results for higher accuracy
Model will load on first use
Coming Soon
More advanced features are planned:
- Semantic Query Caching - Cache responses for similar queries
- HyDE (Hypothetical Document Embeddings) - Generate hypothetical answers for better retrieval
- Matryoshka Embeddings - Variable-dimension embeddings for speed/quality tradeoffs
- Entity-Aware Knowledge Graph - Multi-hop reasoning across entities