Agentic RAG: An Intuitive, Detailed Explanation

What is Agentic RAG? Agentic RAG extends the original Retrieval-Augmented Generation (RAG) concept by introducing the idea of autonomous agents into the RAG pipeline. Rather than having a fixed process—retrieve some relevant documents, send to the LLM, generate answer—an agentic RAG system assigns LLM-powered agents that actively plan, reason, adapt, and collaborate to solve sophisticated … Read more

Retrieval-Augmented Generation (RAG) Architecture Components: A Detailed Explanation

Retrieval-Augmented Generation (RAG) is an advanced AI system that combines the abilities of retrieval models (which find relevant information) and generative large language models (LLMs) (which produce natural language answers). The architecture enables a model to respond to queries using both its pre-trained knowledge and up-to-date, domain-specific, or proprietary information from external sources. Here’s a … Read more

Intuitive Explanation of RAG

Imagine you’re asking a librarian a question. If the librarian doesn’t know the answer from memory, she’ll quickly search through the library’s index, find the most relevant books or articles, skim those, and use that information to answer you. Retrieval-Augmented Generation (RAG) works in a similar way, but for AI:• A Large Language Model (LLM) … Read more

AI Ethics and Responsible AI Development

Overview This article addresses the critical aspects of AI ethics and responsible AI development, providing frameworks and practical guidance for building ethical AI products. Key Topics • Principles of responsible AI• Bias detection and mitigation strategies• Privacy and data protection• Transparency and explainability• Governance frameworks and compliance Technical Dive Responsible AI encompasses the development, deployment, … Read more

Prompt Engineering and Optimization Strategies for PMs

Overview This article provides comprehensive guidance on prompt engineering techniques, optimization strategies, and best practices for maximizing AI model performance through effective prompting. Key Topics • Prompt engineering fundamentals• Advanced prompting techniques• Optimization strategies and best practices• Prompt evaluation and iteration• Domain-specific applications Technical Dive Prompt engineering involves crafting input prompts to achieve accurate and … Read more