Blog

Explore traditional information retrieval models like BoW, TF-IDF, and BM25, their key strengths and limitations, and why they remain central to search systems today. We also touch on the rise of semantic search and how it complements these methods for more accurate results.

Learn how agentic AI systems can revolutionize business workflows. This post explores their core components, benefits, and how they optimize complex processes. Discover how to streamline operations and drive greater efficiency.

Learn how lean production principles can help you design better software. This post explores how to identify value-adding work and shows how this concept applies to both software development and the software itself. Discover how to build better apps that deliver more value to user.

Learn about evaluating the generation stage of RAG systems with advanced metrics for faithfulness, answer relevance, and context relevance. Discover how frameworks like RAGAs and ARES use large language models to overcome data bottlenecks, ensuring accurate and reliable AI-driven solutions.

Learn about evaluation metrics for the retrieval component of a RAG system. Discover how metrics like Precision@k, Recall@k, F1@k, MRR, and MAP can optimize your system's performance. Ensure your RAG pipeline delivers high-quality context for better-generated responses.