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The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG)
Summary: Assesses LLM factual reliability across knowledge types and outlines a federated RAG using web + knowledge graphs for trustworthy, real-time answers. Extends to multi-modal, contextualized, and personalized Q&A, uniting DB/IR/DM advances.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6808
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.4952414e-05
- Overall Rank
- 8,509 | 40.81%
- DOI
-
10.1145/3626246.3655999
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
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