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)
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}
}
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