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Compresr Latte V1

Retrieval, vector search and RAG · by Compresr

Query-specific compression model that preserves tokens relevant to your question.

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What it does

Query-specific compression model that preserves tokens relevant to your question. Enables aggressive compression (up to 200x) for RAG, search, and Q&A pipelines.

  • RAG
  • Search
  • Q&A pipelines
  • Token cost and latency reduction for LLM applications
Category
Retrieval, vector search and RAG
Users
Enterprise, Finance, Healthcare, Regulated workloads
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

  • Free plan$0
  • Usage-based$0.10
    • / 1M tokens

Prices as published by Compresr, checked Oct 2026.

Security and compliance

As reported by Compresr. Ask for audit reports before you buy.

  • SOC 2 Type IIn progress
  • encryption_in_transit
  • encryption_at_rest
  • access_controls
  • audit_logging
  • api_key_hashing
  • rate_limiting
  • ddos_mitigation
  • secret_scanning
  • hsts

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