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HighSNR

Less tokens, less noise — compress docs and RAG context

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About HighSNR

HighSNR is a context compression/denoising API that removes low-signal passages from long documents and RAG retrieval results before they reach your LLM. Send a document and a token budget, get back only the high-signal chunks. Fully deterministic, zero data retention, no AI model in the processing pipeline — runs fast on commodity CPUs. Benchmarked on LongBench v1 with GPT-4o (200 samples): at 90% budget, beats full-context F1 on HotpotQA (71.57 vs 69.71) and retains 97.9% of full-context quality on Qasper. Budget is accurate end-to-end. Free tier: 2M tokens, 14 days, no card required. LangChain integration available via pip. Self-hosted option in progress for teams that need data to never leave their network.

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