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FREDDY: Fast Word Embeddings in Database Systems

Summary: FREDDY integrates word embeddings into PostgreSQL, exposing UDFs for novel embedding queries. It uses multiple indexes and approximation techniques to speed high-dimensional vector ops, demonstrated on IMDB and large word2vec models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5437
Venue
SIGMOD
Year
2018
Pagerank
0.00014692665
Overall Rank
1,005 | 93.02%
DOI
10.1145/3183713.3183717

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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
34 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00076637636
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