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Real-World Case Studies

Proven savings across multiple use cases. Real test results: 78.6% on RAG, 52.3% on chat history, 42.7% on structured data.

Average Savings

47.1%

Total Annual Savings

$43,785

Use Cases

4

RAG Compression

78.6% Savings

Enterprise knowledge base compression for RAG systems

Financial services company compressing 50-page compliance documentation

Original

1,600

Optimized

342

Saved

1,258

% Saved

78.6%

Annual

$11,191

Original (1,600 tokens)

Financial Services Compliance Guidelines

Section 1: Anti-Money Laundering (AML) Requirements
Financial institutions must implement comprehensive anti-money laundering 
programs that include customer due diligence, transaction monitoring, and 
suspicious activity reporting. All transactions exceeding $10,000 must be 
reported to the Financial Crimes Enforcement Network (FinCEN) within 15 
business days...

Optimized (342 tokens)

(rag:
  key_points: ["AML compliance", "KYC procedures", "transaction monitoring"]
  summary: [
    "Financial institutions must implement AML programs with customer due diligence",
    "Transactions over $10,000 must be reported to FinCEN within 15 business days",
    "KYC requires verification of customer identity using government-issued ID"
  ]
  facts: [
    "$10,000 transaction threshold for FinCEN reporting",
    "15 business days reporting deadline",
    "5 years record retention requirement"
  ]
)

Key Benefits

78.6% token reduction - Dramatically lower API costs

Faster retrieval - Smaller chunks = faster vector search

Better accuracy - Structured format improves semantic matching

Scalable - Handles documents of any size with parallel processing

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