4 posts
Metadata design is the foundation of retrieving the right chunk for the right user in RAG: the required field set, authorization scope, date and version fields, and filtered retrieval quality.
What is semantic search? Semantic search is a retrieval method that, instead of matching a query word by word, compares the meaning of the query and documents using embedding vectors to return the most relevant results. This guide: a clear definition, the difference from keyword search, how it works, semantic similarity, hybrid search, examples, and FAQs.
What is GraphRAG? A RAG architecture that feeds a language model over a knowledge graph instead of flat text chunks. The difference from vector RAG, the hybrid architecture decision, entity and relationship extraction, graph-based retrieval, cost, and a decision framework.
What is RAG? RAG (Retrieval-Augmented Generation) is an architecture that feeds a language model with external knowledge before it answers. Embeddings, vector databases, chunking, reranking and hallucination reduction in this guide.