After two decades of architecting enterprise systems and spending the past year deeply immersed in Generative AI implementations, I can state with confidence that vector databases have become the cornerstone of modern AI infrastructure. If you’re building anything involving Large Language Models, semantic search, or Retrieval-Augmented Generation (RAG), understanding vector databases isn’t optional—it’s essential. This […]
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Prompt Chaining Patterns: Breaking Complex Tasks into Manageable Steps
Introduction: Complex tasks often exceed what a single LLM call can handle well. Breaking problems into smaller steps—where each step’s output feeds into the next—produces better results than trying to do everything at once. Prompt chaining decomposes complex workflows into sequential LLM calls, each focused on a specific subtask. This guide covers practical chaining patterns: […]
Read more →Tips and Tricks – Cache Dependencies in GitHub Actions
Speed up CI builds by caching package manager dependencies between runs.
Read more →OpenAI Assistants API: Building Stateful AI Agents with Code Interpreter and File Search
Introduction: OpenAI’s Assistants API, launched at DevDay 2023, represents a significant evolution in how developers build AI-powered applications. Unlike the stateless Chat Completions API, Assistants provides a managed, stateful runtime for building sophisticated AI agents with built-in tools like Code Interpreter and File Search. The API handles conversation threading, file management, and tool execution, allowing […]
Read more →Tips and Tricks – Optimize Re-renders with React.memo and useMemo
Prevent unnecessary component re-renders by memoizing components and computed values.
Read more →Tips and Tricks – Debounce Search Inputs for Better Performance
Prevent excessive API calls by debouncing user input in search fields.
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