LLM-generated TypeQL queries reach higher final accuracy than #SQL or Cypher once retries are permitted, because TypeDB’s strong type system converts most mistakes into clear, visible errors the model can fix, whereas #SQL failures frequently return silent wrong answers that go undetected. On the Reactome pathway database, TypeQL accuracy climbed from 75 % to 92 % with a modest retry budget while MySQL moved only from 82 % to 83 %, leaving TypeQL the most reliable choice for agentic systems that rely on error feedback.
https://typedb.com/blog/why-llm-written-typeql-can-end-up-more-accurate-than-sql-once-you-allow-retries
https://typedb.com/blog/why-llm-written-typeql-can-end-up-more-accurate-than-sql-once-you-allow-retries
typedb.com
Why LLM-written TypeQL can end up more accurate than SQL once you allow retries
Comparing LLM failure modes across MySQL, Neo4j and TypeDB on the Reactome pathway database, and why retries make TypeDB queries so much more accurate.
0 Replies
0 Reposts