Mar 4 · 10 min read · # Fine-tuning vs RAG: When to Use Each Approach for Production LLMs You've shipped a proof-of-concept with GPT-4, your demo went well, and now engineering leadership wants it in production by next quarter. Then someone asks the question that keeps M...
Join discussionMar 4 · 3 min read · Building Production-Ready RAG Applications with Vector Databases Most RAG prototypes look impressive in a notebook. Then they hit production and fall apart. Latency spikes. Retrieval returns irrelevant chunks. Costs balloon when query volume scales. ...
Join discussionMar 3 · 3 min read · Building Production-Ready RAG Applications with Vector Databases Most RAG prototypes look impressive in a notebook. Then they hit production and fall apart. Latency spikes. Retrieval returns irrelevant chunks. Costs balloon when query volume scales. ...
Join discussionMar 2 · 5 min read · Models that look perfect in a lab often become unreliable the moment they run under steady traffic, and teams are left chasing inconsistent replies, unexpected hallucinations, or sudden spikes in latency. The core issue is not a single bug: its a set...
Join discussionFeb 23 · 6 min read · Modern AI systems behave well in isolated tests, then start to miss deadlines, hallucinate facts, or return inconsistent classifications once they run live. This is a practical problem: pipelines that looked stable in staging produce wrong outputs, c...
Join discussionFeb 16 · 10 min read · Embedding Model Versioning for Production AI Systems Embedding models power semantic search, recommendation engines, and retrieval-augmented generation systems across modern applications. Yet when you need to upgrade from text-embedding-ada-002 to te...
Join discussion
Feb 16 · 12 min read · Building Production-Ready Multi-Agent Systems: Architecture Patterns That Actually Scale Multi-agent systems architecture has become critical as organizations move beyond single-LLM chatbots toward autonomous systems that can handle complex, multi-st...
Join discussionFeb 15 · 9 min read · Building Production-Ready Multi-Agent Systems: A 2025 Architecture Guide Multi-agent systems architecture has become critical as organizations move beyond single-LLM applications toward complex, autonomous AI workflows. The challenge isn't just getti...
Join discussionFeb 9 · 5 min read · AI Is Now Application Infrastructure AI is no longer an experiment or a bolt-on feature. In modern products, it behaves like core infrastructure similar to authentication, search or payments. The difference:AI systems are probabilistic, model-driven ...
Join discussion
Aug 25, 2025 · 10 min read · In my last article A complete guide to RAG , I explained how RAG works and why it is the most deployed system in AI world, but with the advantages comes along the issues with RAG, despite their promises, many RAG implementations fall short of expecta...
Join discussion