We open sourced our entire text-to-SQL product
Interact with your SQL database, Natural Language to SQL using LLMs. Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC.
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🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Natural-SQL-7B
github.coma strong text-to-SQL model
Improve Text-to-SQL Accuracy with LLM
github.comA repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
Natural Language to SQL "Text-to-SQL" API
dataherald.com(2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control.
Data management with LLMs