TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs
Summary: TigerVector integrates vector search with TigerGraph's MPP, extends vertex embeddings, and adds an index framework. GSQL adds vector type expressions for hybrid queries; results show performance vs Neo4j/Neptune/Milvus in TigerGraph v4.2 (Dec 2024). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shige Liu (Purdue University)
- 2. Zhifang Zeng (TigerGraph)
- 3. Li Chen (TigerGraph)
- 4. Adil Ainihaer (TigerGraph)
- 5. Arun Ramasami (TigerGraph)
- 6. Songting Chen (TigerGraph)
- 7. Yu Xu (TigerGraph)
- 8. Mingxi Wu (TigerGraph)
- 9. Jianguo Wang (Purdue University)
BibTeX Citation
@inproceedings{liu_sigmod25,
title = {{TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs}},
author = {Liu, Shige and Zeng, Zhifang and Chen, Li and Ainihaer, Adil and Ramasami, Arun and Chen, Songting and Xu, Yu and Wu, Mingxi and Wang, Jianguo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724456},
url = {https://dl.acm.org/doi/10.1145/3722212.3724456},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,432 | RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference | 2026 | VLDB | 5.8801533e-05 |
| 9,776 | Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal | 2025 | VLDB | 5.2209769e-05 |
| 10,443 | Distribution-Aware Exploration for Adaptive HNSW Search | 2026 | SIGMOD | 5.093636e-05 |
| 10,449 | Efficient Vector Index Merging in Vector Databases | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 286 | Milvus: A Purpose-Built Vector Data Management System | 2021 | SIGMOD | 0.00022357911 |
| 406 | AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data | 2020 | VLDB | 0.00019054532 |
| 1,065 | PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension | 2020 | SIGMOD | 0.00012335063 |
| 1,631 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD | 0.00010174628 |
| 1,661 | PG-Schema: Schemas for Property Graphs | 2023 | SIGMOD | 0.00010079134 |
| 2,920 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB | 7.9628307e-05 |
| 3,018 | The LDBC Social Network Benchmark: Business Intelligence Workload | 2023 | VLDB | 7.8473755e-05 |
| 3,697 | Aggregation Support for Modern Graph Analytics in TigerGraph | 2020 | SIGMOD | 7.1903457e-05 |
| 13,374 | Vector Databases: What’s Really New and What’s Next? (VLDB 2024 Panel) | 2024 | VLDB | - |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,631 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD |
| 2 | 6,778 | VectraFlow: Integrating Vectors into Stream Processing | 2025 | CIDR |
| 3 | 10,449 | Efficient Vector Index Merging in Vector Databases | 2026 | SIGMOD |
| 4 | 7,843 | BigVectorBench: Heterogeneous Data Embedding and Compound Queries are Essential in Evaluating Vector Databases | 2025 | VLDB |
| 5 | 9,778 | Turbocharging Vector Databases using Modern SSDs | 2025 | VLDB |
| 6 | 3,697 | Aggregation Support for Modern Graph Analytics in TigerGraph | 2020 | SIGMOD |
| 7 | 2,920 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB |
| 8 | 11,243 | TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning | 2024 | VLDB |
| 9 | 8,781 | Fast Vector Search in PostgreSQL: A Decoupled Approach | 2026 | CIDR |
| 10 | 3,240 | Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art | 2025 | SIGMOD |