Mastering RAG: Building Context-Aware LLM Applications with Vector Databases

Mastering RAG: Building Context-Aware LLM Applications with Vector Databases Large Language Models (LLMs) have revolutionized how we interact with information, but they come with inherent limitations: knowledge cut-offs, tendencies to…

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Mastering Production Observability with eBPF: From Kernel Insights to Application-Level Traceability

Mastering Production Observability with eBPF: From Kernel Insights to Application-Level Traceability Introduction eBPF (extended Berkeley Packet Filter) has revolutionized how we understand and interact with the Linux kernel. Historically, gaining…

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Secure Your Software Supply Chain: Advanced Strategies for Cloud-Native Applications

Introduction The software supply chain has become a primary attack vector, with breaches like SolarWinds highlighting the catastrophic impact of compromised software. For cloud-native applications, the complexity of microservices, containers,…

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Developing AI Applications with Retrieval Augmented Generation (RAG)

Developing AI Applications with Retrieval Augmented Generation (RAG) Introduction Large Language Models (LLMs) have revolutionized how we interact with information, but they come with inherent limitations: they can hallucinate (generate…

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Profiling and Optimizing High-Concurrency Go Applications for Low-Latency Systems

Introduction High-concurrency, low-latency systems are critical in fields like high-frequency trading, real-time analytics, and gaming. Go, with its excellent concurrency primitives, is a prime candidate for building such systems. However,…

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Optimizing Cache-Coherency and Memory Barriers for Multi-threaded Systems

Optimizing Cache-Coherency and Memory Barriers for Multi-threaded Systems In the quest for peak performance in multi-threaded applications, developers often encounter a ceiling imposed not by algorithmic complexity, but by the…

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