HighSNR

A deterministic context optimization API that filters long documents or retrieved chunks to only the high-signal passages before sending them to an LLM, reducing token usage, cost, and latency while maintaining or improving answer quality. It targets developers and data teams building LLM and RAG pipelines in mid-market and enterprise companies. It is positioned as a complement or alternative to RAG and rerankers, working before or after retrieval, with no LLM in the loop, zero data retention, and sub-second latency for most documents.

Key features

• Deterministic filtering without LLM in loop
• Zero data retention
• Sub-second latency for most documents
• Works before or after RAG retrieval
• Accepts document or pre-split chunks
• Optional context_hint for better selection
• Token budget control
• No vector DB or extra model call