DIY LLMOps: Building Your Own AI Platform with Kubernetes and Open Source

Build a production-grade LLMOps platform using open source tools. Complete guide with Kubernetes deployments, GitHub Actions CI/CD, vLLM model serving, and Langfuse observability.

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Enterprise GenAI: Taking AI Applications from Prototype to Production at Scale

Deploy GenAI at enterprise scale. Learn model routing, observability, security patterns, cost management, and what the future holds for AI in production.

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Building Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me

When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? After two years of production deployments across financial services, healthcare, and retail, I’ve learned what actually matters when building enterprise AI applications. AWS Bedrock Enterprise Architecture The Foundation Model Landscape Has Matured The most significant evolution […]

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Embedding Model Selection: Choosing the Right Model for Your RAG System

Introduction: Choosing the right embedding model is critical for RAG systems, semantic search, and similarity applications. The wrong choice leads to poor retrieval quality, high costs, or unacceptable latency. OpenAI’s text-embedding-3-small is cheap and fast but may miss nuanced similarities. Cohere’s embed-v3 excels at multilingual content. Open-source models like BGE and E5 offer privacy and […]

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Hybrid Search Strategies: Combining Keyword and Semantic Search for Superior Retrieval

Introduction: Neither keyword search nor semantic search is perfect alone. Keyword search excels at exact matches and specific terms but misses semantic relationships. Semantic search understands meaning but can miss exact phrases and rare terms. Hybrid search combines both approaches, leveraging the strengths of each to deliver superior retrieval quality. This guide covers practical hybrid […]

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