5 posts
Agentic RAG moves retrieval inside the agent loop; with context engineering it cuts token usage 19-53%. Production patterns and a decision framework.
What is a knowledge graph? A knowledge graph models real-world entities (people, places, products, concepts) and the relations between them as a network a machine can query. This guide: a clear definition, entities and relations, ontology, how it works, GraphRAG, search engines and AI, enterprise knowledge management, 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.
On multi-hop questions GraphRAG scores 86%, vector RAG 32%. But the right answer for most is a hybrid router. An architecture decision framework in a Turkish/KVKK context.
GraphRAG or vector RAG? A 2026 decision guide for production retrieval: cost, multi-hop reasoning, hybrid search, and a KVKK-aware view.