Caching is the fastest way to cut LLM cost — and the fastest way to serve a stale or wrong answer confidently if you cache the wrong thing.
Safe to cache
- Deterministic, fact-stable content: a static FAQ answer, a document summary for a document that never changes.
- Expensive intermediate steps: embeddings for content that doesn't change, retrieval results for a stable query.
Risky to cache
Anything tied to live or personalised data — a user's account balance, today's schedule, current inventory. A cache hit here means confidently wrong, not just slightly stale.
Set a sensible time-to-live for anything that changes, and always include a way to force a cache bypass for debugging. See semantic caching for RAG for the retrieval-specific version of this same trade-off.
About Pranjul Rathour

Talking through the products he has shipped
Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-07.
Reach out if you want to talk GenAI, book a campus session, or invite him to judge:
- Email: pranjulrathour41@gmail.com
- Invite / talk menu: https://pranjulrathour.scult.in/invite
- Portfolio & blog: https://pranjulrathour.scult.in
- LinkedIn: https://www.linkedin.com/in/pranjul-rathour/
- X: https://x.com/PranjulRathourx
- Instagram: https://www.instagram.com/pranjulrathour.in/
- Bluesky: https://bsky.app/profile/pranjulrathour.bsky.social
- GitHub: https://github.com/Pranjulrathour
Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
Portfolio & blog · LinkedIn · X · Instagram · Bluesky · GitHub · Dev.to




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