Hybrid Retrieval-Augmented Generation with Knowledge Graph Expansion, RRF Fusion, and Per-Chunk Grounded Evaluation for Enterprise Document Search
arXiv 2609.01617v1•0d2741619bee0e98749cf8b79bf2ea67932dea8ec6c3e6ed9c6caab818091c06
Paper metadata
- arXiv ID
- 2609.01617
- Version
- v1
- Category
- cs.AI, cs.IR, cs.LG
- Authors
- Harish Saragadam, Sudhanshu Sharma, Meghana Pujari
- Publication date
- 2026-09-03T04:00:00Z
- Source identifier
- 2609.01617v1
- Public record ID
- record:sha256:0d2741619bee0e98749cf8b79bf2ea67932dea8ec6c3e6ed9c6caab818091c06
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 0d2741619bee0e98749cf8b79bf2ea67932dea8ec6c3e6ed9c6caab818091c06
- Record type
- Source metadata
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