Py Data

Have you ever found yourself staring at a RAG evaluation report, all green lights on faithfulness and answer relevance, yet a nagging feeling per…

Have you ever felt that gnawing dread, wondering if your production Retrieval Augmented Generation (RAG) system is silently drifting, serving up …

Have you ever found yourself in the unenviable position of building AI agents or Retrieval Augmented Generation (RAG) systems that demand th…

Have you ever tried to build an AI agent that felt like it hit a wall after just one action? You give it a complex request, expecting a multi-ste…

Learn to architect a production-grade multimodal pipeline that enriches text-only API data by dynamically generating visual context and leveragin…

When you're building sophisticated LLM-powered agents and applications, especially those interacting with dynamic, unstructured external cont…

Automated, objective evaluation of LLM agent outputs against real-world API ground truth is the only sustainable path to moving agents from exper…

Architect AI agents that go beyond simple function calls, dynamically orchestrating tools, gracefully handling execution failures, and iterativel…

Have you ever found yourself staring at your monthly LLM API bill, a mix of awe at what your agentic systems accomplished and a growing sense of …

Master advanced text chunking techniques—recursive, semantic, and LLM-assisted—to significantly enhance retrieval accuracy, reduce LLM hallucinat…

As we move beyond basic RAG architectures towards dynamic, agentic systems leveraging real-time data, like the incremental indexing pipeline we e…

Learn to architect and implement an incremental RAG indexing pipeline that continuously detects and integrates new content from dynamic sources, …