Clear explanations of AI, DX, and technology terminology
Agentic RAG is an architecture in which an LLM autonomously and iteratively generates search queries, evaluates results, and decides whether to re-retrieve information as an agent, achieving answer accuracy that cannot be obtained with simple single-turn RAG.
BM25 (Best Matching 25) is a probabilistic information retrieval algorithm that scores the relevance between a query and documents by taking into account the term frequency within documents and document length.
Chunk size refers to the size (in number of tokens or characters) of the unit into which documents are split when stored in a vector store within a RAG pipeline. It is a critical parameter that directly affects retrieval accuracy and answer quality.
