Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
65 articles · Databases
First, What Is an API?
Key Takeaway --> 🎯 APIs connect applications to services. MCP connects AI agents to tools and data. MCP isn't replacing APIs—it's a…
From Prompt Crafting to System Design
Key Takeaway --> 🎯 Context engineering is the skill of designing what an AI system knows, sees, and can do. While prompt engineerin…
Why AI Changes the Security Model
AI coding agents can read files, modify code, execute commands, and access tools — capabilities that create real security risks. Securing a…
Why LLM Observability Matters
LLM observability goes beyond traditional logging. It requires tracing entire request flows, tracking token usage and costs, monitoring ret…
The Prototype Gap
Moving a RAG system from prototype to production requires far more than better prompts. It demands evaluation frameworks, security controls…
Why Semantic Search Alone Is Not Enough
Hybrid search combines BM25 keyword matching with vector similarity search to deliver more robust results than either approach alone. By no…
Why Do We Need Vector Databases?
Vector databases are specialized systems for storing and searching embedding vectors. FAISS is a high-performance library for in-memory sim…
Why Evaluating RAG Is Harder Than It Looks
Key Takeaway --> 🔑 KEY TAKEAWAY
Why Build a Private RAG System?
Key Takeaway --> 🔑 KEY TAKEAWAY
Keyword Search vs Semantic Search
Semantic search finds documents by meaning, not just keywords. By building a search engine from scratch — embedding documents, computing co…
What Is an Embedding?
Embeddings transform text into numerical vectors that capture meaning. Semantically similar texts produce vectors that are close together i…
What Is a Vector?
Key Takeaway You do not need a GPU, a vector database, or a heavy AI framework to understand and build vector search. A small private vecto…