Building Production-Grade RAG Systems: Architecture and Best Practices
Lessons learned from building and scaling RAG systems in enterprise environments—moving from proof-of-concept demos to production-grade systems that handle m...
Posts by Category
- genai 2
- operations 1
- mlops 1
- techniques 1
- optimization 1
- cost 1
- governance 1
- strategy 1
- evaluation 1
- testing 1
- architecture 1
- case-study 1
- platform-engineering 1
genai
Prompt Engineering: From Basics to Advanced Strategies
Prompt engineering is often dismissed as “just writing good instructions.” While that’s part of it, effective prompt engineering is a skill that combines psy...
operations
LLMOps: Moving from MLOps to Production LLM Systems
If you’ve built ML systems in the past, you might think LLMOps is just “MLOps with LLMs.” You’d be partially right but also missing some critical differences...
mlops
LLMOps: Moving from MLOps to Production LLM Systems
If you’ve built ML systems in the past, you might think LLMOps is just “MLOps with LLMs.” You’d be partially right but also missing some critical differences...
techniques
Prompt Engineering: From Basics to Advanced Strategies
Prompt engineering is often dismissed as “just writing good instructions.” While that’s part of it, effective prompt engineering is a skill that combines psy...
optimization
LLM Cost Optimization: Cutting Your AI Bill by 70% Without Sacrificing Quality
When we first deployed our RAG system to production, our LLM costs were $12,000/month for 50,000 queries. Six months later, we’re handling 200,000 queries at...
cost
LLM Cost Optimization: Cutting Your AI Bill by 70% Without Sacrificing Quality
When we first deployed our RAG system to production, our LLM costs were $12,000/month for 50,000 queries. Six months later, we’re handling 200,000 queries at...
governance
Building an AI Governance Framework for Enterprise GenAI Adoption
As enterprises rush to adopt GenAI, many overlook a critical question: How do we govern these systems responsibly?
strategy
Building an AI Governance Framework for Enterprise GenAI Adoption
As enterprises rush to adopt GenAI, many overlook a critical question: How do we govern these systems responsibly?
evaluation
Evaluating LLM Applications: Beyond Vibes and Into Data
Rigorous evaluation is what separates prototypes from production LLM systems. Learn the frameworks, metrics, and best practices for measuring what matters in...
testing
Evaluating LLM Applications: Beyond Vibes and Into Data
Rigorous evaluation is what separates prototypes from production LLM systems. Learn the frameworks, metrics, and best practices for measuring what matters in...
architecture
Building Production-Grade RAG Systems: Architecture and Best Practices
Lessons learned from building and scaling RAG systems in enterprise environments—moving from proof-of-concept demos to production-grade systems that handle m...
case-study
Case Study: Production GenAI Platform Processing 2M+ Monthly Customer Interactions
How I architected a production GenAI platform processing 2M+ monthly call transcripts with 85% accuracy, delivering $1.2M annual retention value through serv...
platform-engineering
Case Study: Production GenAI Platform Processing 2M+ Monthly Customer Interactions
How I architected a production GenAI platform processing 2M+ monthly call transcripts with 85% accuracy, delivering $1.2M annual retention value through serv...