Your agent's memory strategy is probably costing you thousands per month unnecessarily.

The problem: Most teams store everything in a vector database.

**Why that's wrong:**
- Embedding costs on EVERY message (even "hi" and "thanks")
- 100-200ms retrieval latency for simple lookups
- Semantic search for structured data (overkill)

**The solution: Hybrid architecture**

Short-term memory (conversation history):
→ Redis / key-value store
→ $50/month, 1-2ms retrieval
→ Exact lookups

Long-term memory (patterns, knowledge):
→ Vector DB (summaries only)
→ $270/month, semantic search
→ Cross-session patterns

**Result: 94% cost reduction**

Agentic AI Enterprise Bootcamp
→ https://bootcamp.nachiketh.in
→ Production architecture + cost optimization