RAG with LangGraph boosts LLM accuracy by retrieving data at runtime. Using OpenAI, FAISS, and modular nodes, it builds fast, factual, domain-aware chatbots.
Long stack traces make debugging painful. MgntUtils offers a simple Java utility to filter irrelevant lines, letting you focus on what matters in your logs.
Align your AI pipelines with OWASP AI Testing principles using identity-based insights to monitor, enforce, and audit secrets and token usage best practices.
Learn to integrate Semantic Kernel with Azure OpenAI and MCP to discover tools, register them as functions, and enable AI agents to invoke them dynamically.
This article explores the journey of building SQLGenie, testing various Language Models (LLMs) to find the optimal solution for converting natural language to SQL queries
Can ChatGPT’s Agent Mode really handle agile team tasks? I tested real use cases to see what it can do, what it misses, and where it needs improvement.
Caching is an important technique for enhancing the performance and cost efficiency of diverse cloud native applications, including modern GenAI applications.
Prompt-based ETL uses LLMs to convert plain English into validated, schema-aware SQL, automating data transformation and enabling self-serve analytics.
A virtual office assistant that streamlines everyday office duties — drafting emails, summarizing meetings, etc., driven by Generative AI and Firebase.