Architecting Production LLM Systems: How AI Gateways, Orchestration, RAG, and Observability Fit TogetherA practical reference architecture connecting OpenRouter, LangChain/LlamaIndex, vector search, structured outputs, and Langfuse into one coherent AI engineering stack
How AI gateways, LangChain/LlamaIndex orchestration, vector search, structured outputs, and Langfuse observability combine into a production LLM architecture.
Short-Term vs Long-Term Memory in AI Agents: What to Store, When, and WhyA practical engineering guide to memory tiers, retrieval, and forgetting in production agent systems.
Learn how to design short-term and long-term memory for AI agents, including what to store, retention policies, retrieval strategies, and common pitfalls for real-world deployments.
Project Idea: Personal Knowledge OS with Long-Term Memory + RAGTurn notes, PDFs, bookmarks, and emails into a searchable, citeable assistant you control.
Build a real-life AI project that ingests your documents into a RAG index with long-term memory, delivering grounded answers with citations and strong privacy controls.
AI Embeddings Explained: Foundations, Fundamentals, and When to Use ThemWhat embeddings actually are, how they're trained, and how to use them correctly in semantic search, RAG, and clustering systems
A practical guide to AI embeddings: what they are, how similarity search works, when to use them, and how to avoid the pitfalls that quietly break RAG systems