Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

Summary: Ember automates keyless joins for no-code ML context enrichment by indexing task-specific Transformer embeddings rather than relying on explicit keys. Across search, recommendation, and QA, it supports one-line pipeline configuration and improves recall by up to 39%. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13130
Venue: VLDB
Year: 2022
Pagerank: 7.2812353e-05
Overall Rank: 3,589 | 75.38%
DOI: 10.14778/3494124.3494149

Incoming Non-self Citations Over Time

Authors

1. Sahaana Suri (Stanford University)
2. Ihab F. Ilyas (University of Waterloo)
3. Christopher Ré (Stanford University)
4. Theodoros Rekatsinas (University of Wisconsin)

BibTeX Citation

@article{suri_vldb22,
        title = {{Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins}},
        author = {Suri, Sahaana and Ilyas, Ihab F. and Ré, Christopher and Rekatsinas, Theodoros},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {699--712},
        doi = {10.14778/3494124.3494149},
        url = {https://doi.org/10.14778/3494124.3494149},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,521	CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex	2022	VLDB	8.4729505e-05
3,073	DeepJoin: Joinable Table Discovery with Pre-trained Language Models	2023	VLDB	7.785842e-05
4,449	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	6.697553e-05
6,378	Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4	2023	VLDB	5.8929835e-05
6,997	E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model	2025	VLDB	5.7300324e-05
7,572	Cross Modal Data Discovery over Structured and Unstructured Data Lakes	2023	VLDB	5.5938952e-05
10,109	QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes	2025	VLDB	5.1347137e-05
10,566	ALER: An Active Learning Hybrid System for Efficient Entity Resolution	2026	VLDB	5.093636e-05
10,783	Table Overlap Estimation through Graph Embeddings	2025	SIGMOD	5.093636e-05
11,062	Data Discovery in Data Lakes: Operations, Indexes, Systems	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
141	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.0002964847
176	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00027191081
179	Constructing an Interactive Natural Language Interface for Relational Databases	2015	VLDB	0.00026838277
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025235185
489	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.0001761456
493	Data Integration for the Relational Web	2009	VLDB	0.00017558709
514	Goods: Organizing Google's Datasets	2016	SIGMOD	0.00017178673
529	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00017096361
764	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00014226652
1,077	DataHub: Collaborative Data Science & Dataset Version Management at Scale	2015	CIDR	0.00012269438
1,121	ARDA: Automatic Relational Data Augmentation for Machine Learning	2020	VLDB	0.00012093059
1,447	Auctus: A Dataset Search Engine for Data Discovery and Augmentation	2021	VLDB	0.00010760327
1,540	Crossing the Structure Chasm	2003	CIDR	0.00010430413
2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.5277654e-05
3,681	Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?	2018	VLDB	7.2037388e-05
3,947	Overton: A Data System for Monitoring and Improving Machine-Learned Products	2020	CIDR	7.0040437e-05
5,134	Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples	2021	SIGMOD	6.3532024e-05
5,644	A Demo of the Data Civilizer System	2017	SIGMOD	6.1378898e-05
8,088	Customizable and Scalable Fuzzy Join for Big Data	2019	VLDB	5.4900832e-05
9,614	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation	2021	CIDR	5.2444447e-05
11,824	Leveraging Organizational Resources to Adapt Models to New Data Modalities	2020	VLDB	5.093636e-05

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