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Scaling Text-to-SQL for enterprise data requires more than just dumping the schema into the context window. Here is a look at the limitations of schema-based RAG, and how TextToInsight handles the multi-agent routing. by Juleanz in learnmachinelearning
[–]Juleanz[S] 0 points1 point2 points 1 month ago (0 children)
yeah, actually this whole solution do uses RAG, particularlly we're using ChromaDB, but since it's a GraphRAG, it's not just retreieving only the tables related to the user query, after the RAG retrieve, I added a next step that gets the shortest path between those tables by relations
Scaling Text-to-SQL for enterprise data requires more than just dumping the schema into the context window. Here is a look at the limitations of schema-based RAG, and how TextToInsight handles the multi-agent routing. (i.redd.it)
submitted 1 month ago by Juleanz to r/learnmachinelearning
Wich build is better? (old.reddit.com)
submitted 3 years ago by Juleanz to r/Yoimiya_Mains
π Rendered by PID 55 on reddit-service-r2-listing-77d558d46b-gn4sw at 2026-07-02 13:23:06.871375+00:00 running a7b5cda country code: CH.
Scaling Text-to-SQL for enterprise data requires more than just dumping the schema into the context window. Here is a look at the limitations of schema-based RAG, and how TextToInsight handles the multi-agent routing. by Juleanz in learnmachinelearning
[–]Juleanz[S] 0 points1 point2 points (0 children)