💾

Semantic Cache API

Cut your AI API costs by 40-60%. Unlike traditional caches that only match exact strings, Semantic Cache understands meaning - so similar questions return the same cached response.

40-60%

Cost Savings

<5ms

Latency

False Positives

The Problem

Every company using GPT-4 or Claude is bleeding money on duplicate queries

💸

Wasted API Calls

Users ask the same question in different ways: "How do I reset my password?", "How can I change my password?", "Password reset help" - all hit your expensive API separately.

🐌

Traditional Cache Fails

Redis and Memcached only match EXACT strings. "reset password" ≠ "change password" - so you pay twice for the same answer.

📈

Costs Scale Linearly

More users = more duplicate questions = more wasted money. At scale, you're paying 2-3x what you should.

The Solution

Semantic Cache understands MEANING, not just text

Example: Store response for "How do I reset my password?"
✅ "How can I change my password?" → CACHE HIT (saves $0.03)
✅ "Password reset help" → CACHE HIT (saves $0.03)
✅ "I forgot my password" → CACHE HIT (saves $0.03)
One API call. Three cache hits. 75% cost savings.

# Simple integration with OpenAI
from semantic_cache import SemanticCacheClient

cache = SemanticCacheClient(api_key="your_key")

def smart_gpt(prompt):
    # Check cache first
    cached = cache.get(prompt)
    if cached:
        return cached['response']  # FREE!
    
    # Cache miss - call OpenAI
    response = openai.chat.completions.create(...)
    
    # Store for future similar queries
    cache.set(prompt, response)
    return response

Part of 3-in-1 Unified API

Semantic Cache is included with every Hiwosy API key

🔍 Deduplication + 💾 Cache + 👤 Behavior = ONE API

Every query automatically runs through all 3 engines. No extra configuration needed.

ROI Example: 500K queries/month to GPT-4
• Without cache: $15,000/month
• With 50% hit rate: $7,500 saved
• Contact us for pricing

Contact for Pricing

API Endpoints

Simple REST API - integrate in minutes

POST /cache/check

Check if a semantically similar query exists in cache. Returns cached response if hit.

POST /cache/store

Store a query and its response. Future similar queries will return this response.

POST /cache/batch/check

Check multiple queries at once. Efficient for high-volume applications.

GET /cache/stats

Get cache statistics: hit rate, savings estimate, entries count.