AI Tool for querying natural language on tabular data.

Ask questions about your business data in plain English, Get automatic SQL queries and visualizations, Receive AI-powered insights and recommendations, No SQL knowledge required

This project enables users to **generate SQL queries from natural language** using **LLM** of their choice while enforcing **Role-Based Access Control (RBAC)** and **Row-Level Security (RLS)**. It also includes **SQL injection detection** and **sensitive data logging** for compliance and security.

tabeltalk is a declarative language for seamless interaction with your database, enabling you to define data access configurations in a YAML file and query their data lakes using natural language

A context-aware chatbot backend powered by Django and LLMs, supporting multi-turn conversations, SQL generation, and optional visual similarity search with FAISS.

EasyNQL converts natural language questions into SQL queries via Ollama and can optionally connect to a database for execution with automatic error correction.

🧠 Schema-Aware Natural Language to SQL Agent with Fine-tuned T5 Models

🤖 DataWhisper is a system that translates natural language queries into SQL using an intelligent agent-based architecture. These agents work together to identify the relevant tables, generate SQL queries, execute the queries, and ultimately provide insights. It can be used with large-scale databases.

A set of Python functions allowing for the generation of sql statements in Python.

Ask questions about your business data in plain English, Get automatic SQL queries and visualizations, Receive AI-powered insights and recommendations, No SQL knowledge required

Natural language interface for querying clinical data. This project uses Retrieval-Augmented Generation (RAG) with GPT-3.5 to translate user questions into SQL over a subset of the MIMIC-III dataset, enabling clinicians and researchers to extract insights without SQL knowledge.