Unverified50% confidenceBenchmarkExact time
SchemagateRetriever was tested on Snowflake and BigQuery schemas containing more than 50 tables (the Spider 2.0 benchmark), and the median prompt size was reduced by 92.9%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/29/2026
First Seen
Valid until: 1/27/2027
Sources
Related Entities
Related Claims
UnverifiedNL2SQL technology has achieved over 80% accuracy on benchmarks such as Spider, but accuracy drops significantly on complex operations such as multi-table JOINs and subqueries.61% similarUnverifiedIn the full Spider-ACL test, schemagate answered 1.8% of the forbidden questions, but the records of unauthorized data reads were 0/8,128.61% similarUnverifiedTutorial tests showed that a chunk size of 500 characters combined with an overlap of 100 characters can improve retrieval accuracy by nearly 40%, and a complete semantic search engine reduced the search failure rate from 60% to a success rate of 95%.60% similarUnverifiedThe 99.8% reduction figure on jCodeMunch's homepage is the result of a single query on fastapi/fastapi: reading the entire source tree requires 214,312 tokens, while going through the index requires only about 480; this figure should be regarded as a theoretical upper limit.58% similarUnverifiedThe "precision retrieval" concept proposed by Bigdata.com claims to reduce the context consumed by a single query by up to 100 times.57% similar
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