Anastasios Stamoulakatos

Anastasios Stamoulakatos

Data Scientist at Satalia | PhD in Applied AI

Building Effective AI Agents: A Brief Guide and Best Practices

less than 1 minute read

Published:

AI agents are redefining how we automate workflows. Building reliable agents requires more than just calling an LLM in a loop; it demands robust architectures for task planning, execution monitoring, tool access (like web search), and evaluation.

In this Satalia AI Research Lab publication, I outline the core building blocks of agentic systems and share developer best practices.

Read the full article on Medium

Retrieval-Augmented Generation (RAG) 101

less than 1 minute read

Published:

Retrieval-Augmented Generation (RAG) bridges the gap between static LLM parameters and dynamic external data. In this guide, I break down the core components of a RAG pipeline—from document chunking and vector embeddings to context retrieval and generation—and explain how real-time tools like Web Search integration keep model answers accurate and grounded.

Agentic Frameworks: A Comparison

less than 1 minute read

Published:

Selecting the right framework is crucial when moving from prototype agents to production. This article compares popular agentic development frameworks (such as CrewAI, AutoGen, and LangGraph), analyzing their design philosophies, state management capabilities, and developer ergonomics.

Check out my Blog on Medium

less than 1 minute read

Published:

I regularly write about Data Science, AI, and my experiences in the industry on Medium.