Retrieval and search · MLD-0490
GraphRAG
RAG approaches using graph-structured entities, relations, or summaries for retrieval and synthesis.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Answer questions spanning linked entities.
Original caveat
GraphRAG names a family of approaches and specific implementations.
Context and aliases
Level: Intermediate. Stages: Data · Retrieval · Inference · Evaluation.
Tags: ML · NLP · SLM · LLM · IR.
Aliases: Graph-based retrieval-augmented generation.
Related concepts
Concepts linking here
Original references
- Faiss documentation ↗ · Reference link
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks ↗ · Consulted
- Sentence Transformers documentation ↗ · Reference link
- Original reference URL ↗