How does Centralpoint handle long-context inferencing?

Centralpoint composes long-context prompts by chunking, ranking, and selecting relevant passages from the hybrid index, then assembling them within the chosen model's context window. For models that support million-token contexts, retrieval can be more permissive; for smaller models, retrieval is tighter. The