Ensuring AI Agent Reliability: From Hallucination Prevention to Exception Handling — A Practical Python Code Guide
Reliability is the hardest part of putting AI agents into production. This guide goes beyond simple prompt instructions and presents the core code developers must implement themselves: external validation logic (guardrails), conversation st
[Master Guide] Blueprint for Designing and Implementing Complex AI Agent Workflows (Orchestration)
Going beyond simple prompt engineering, this guide shows how to design complex, reliable system architectures in which multiple AI components collaborate as an organic whole. From agents, tools, and memory through Plan-Execute-Reflect patte
[Complete Code Example Guide] Building Your Own RAG System with LangChain & LlamaIndex
Theory alone is not enough to build a RAG (Retrieval-Augmented Generation) system that overcomes LLM limitations. This guide uses LangChain and LlamaIndex to walk you through a working Q&A pipeline with step-by-step code examples.
Ensuring Reliability in LLM-Based Workflows: Solving Distributed Transaction Problems with the Saga Pattern and Event Sourcing
This post shows how to solve the distributed transaction problems that arise when LLMs’ non-deterministic nature meets a microservices environment. Combine the Saga pattern with Event Sourcing and walk away with a practical architecture blu