Function calling and tool-augmented retrieval: the detective who knows which file to ask forJun 4, 2026
Evaluating a RAG system without fooling yourself: RAGAS, the golden dataset and the four metrics that matterJun 4, 2026
Embeddings in 2026: the three families (dense, sparse, multi-vector), the model zoo and the decision that matters in productionJun 3, 2026
Reranker and hybrid retrieval: the committee that decides the 5 chunks the LLM will actually readMay 25, 2026
RAG corpus curation: the active librarian who decides what goes in, what goes out and what gets signedMay 25, 2026
RAG on Kafka: a technical reference architecture for streaming datalakes, with fresh embeddings and vector stores that are always up to dateMay 21, 2026
MLOps specific to LLMs in 2026: the landscape of three modalities, six stages and ten tools that make them workMay 21, 2026