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Beyond Vector Search: Comparing Classical RAG with Hybrid GraphRAG for Climate Science Q\&A — arXiv:2608.28766

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.28766
License (as archived): CC0-1.0
Archived: 2026-10-17T08:59:31.387Z
SHA-256 of the archived text: 97f2c1aaca732c1e26b827e833fb64a6a85de230af6839b54f22689fbffb939c
Stable URL of this page: https://metraipolis.com/documento/dc_4eac8ec18141

How to cite

Beyond Vector Search: Comparing Classical RAG with Hybrid GraphRAG for Climate Science Q\&A — arXiv:2608.28766 — arXiv (en), https://arxiv.org/abs/2608.28766 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_4eac8ec18141 (Metraipolis archive dc_4eac8ec18141, sha256 97f2c1aaca732c1e26b827e833fb64a6a85de230af6839b54f22689fbffb939c)

BibTeX

@misc{dc4eac8ec18141,
  title = {Beyond Vector Search: Comparing Classical RAG with Hybrid GraphRAG for Climate Science Q&A — arXiv:2608.28766},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.28766},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_4eac8ec18141; sha256 97f2c1aaca732c1e26b827e833fb64a6a85de230af6839b54f22689fbffb939c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.28766. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Traditional Retrieval-Augmented Generation (RAG) systems treat documents in isolation, failing to capture hierarchical relationships between concepts in complex scientific corpora. This limitation compromises answer quality in specialized domains such as climatology, where conceptual dependencies frequently traverse multiple articles. We propose a hybrid architecture that integrates vector search with GraphRAG, Leiden community detection, and cross-encoder re-ranking, achieving gains of 160\% in contextual relevance and 177\% in contextual recall compared to classical RAG. These results demonstrate that unifying local and global retrieval significantly outperforms text-span isolation, paving the way for more effective question-answering systems over dispersed scientific literature.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-09-01 in cs.SE).
Categorie arXiv: Software Engineering (cs.SE).
Pagina del lavoro: https://arxiv.org/abs/2608.28766 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T08:37:02.052Z dalla pagina https://arxiv.org/catchup/cs.SE/2026-09-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).