Re:Show HN: We open sourced our entire text-to-SQL product
by saigal on Friday May 24, 2024 @04:57PM
(#40470432)
great question, and the one that we get the most :-) this is precisely why we created Dataherald. Off the shelf LLMs can handle a single table and simple questions. Dataherald's quest is to ultimately provide enterprise-grade text to SQL, where complex schema and joins are present. it does take some training, but we've found that it can handle situations such as the one you mention above.
[ Parent
| on HN ]
Re:Show HN: We open sourced our entire text-to-SQL product
by BossingAround on Saturday May 25, 2024 @05:11AM
(#40473748)
Perhaps orthogonal problem - imagine you join a new company that has an enterprise product with hundreds of tables. Is there a way to connect Dataherald to my DB, and ask basic questions about the DB? E.g. "where are stored records related to X".
Re:Show HN: We open sourced our entire text-to-SQL product
by aazo11 on Saturday May 25, 2024 @12:34PM
(#40476072)
Yes when you connect Dataherald to a DB it scans it and you can do exploratory queries.
Re:Show HN: We open sourced our entire text-to-SQL product
by momothereal on Saturday May 25, 2024 @05:28PM
(#40478010)
What happens when the tables and columns have cryptic names/acronyms? Do you need to inject documentation?
Re:Show HN: We open sourced our entire text-to-SQL product
by roughly on Saturday May 25, 2024 @04:51PM
(#40477778)
So from the look of this, you’re open sourcing all of the agent/usage code, but I’m guessing you’re keeping the trained model in-house, so that becomes the value prop for Dataherald the product - the trained LLM?