A tool to query a database in natural language
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Updated
Mar 25, 2023 - Python
A tool to query a database in natural language
One API for 20+ LLM providers, your databases, and your files — self-hosted, open-source AI gateway with RAG, voice, and guardrails.
Text-to-SQL tool with auto Python analysis and charts
ln2sql as a python package
Natural Language to SQL using Google's Gemini Pro Model
Finetuning Google's Gemma Model for Translating Natural Language into SQL
QueryWise: Natural-language SQL assistant with semantic context, glossary- aware query generation, and a React/FastAPI stack.
A tool to query a database in natural language
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AI agent for answering SQL-based questions using LLaMA and FastAPI
SQL Natural Language Query Assistant is a powerful Streamlit application that lets you interact with tabular data using everyday language instead of complex SQL queries. This tool bridges the gap between data analysis and natural language processing, making data exploration accessible to everyone, regardless of their SQL expertise.
An interactive DataOps assistant using an LLM-powered agent architecture to automate data profiling, cleaning, feature engineering, and natural language-based querying & visualization.
LLM agent able to do database queries and mutations
A new package enables AI systems to securely interact with MySQL databases by translating natural language queries into structured SQL commands. It processes user text input to generate safe, validate
Connect Postgres database with LLM with Llama
ChatBot NL to SQL using LLM
AI-powered analytics assistant that converts natural language questions into safe SQL queries on PostgreSQL and returns charts and business insights.
This AI Data Analysis Agent is a Streamlit-powered tool that allows users to analyze CSV and Excel files using natural language queries. It leverages the Agno framework, OpenAI's GPT-4o, and DuckDB to automatically convert your questions into SQL for instant data insights and visualizations.
A Multi-Hop Retrieval Augmented Generation (RAG) system with Multi-Agent LangGraph workflow for intelligent educational analytics. Features real-time workflow visualization, Postgres vector embeddings, and checkpoint-based resumption for robust query processing.
Graph-based SAP Order-to-Cash explorer with LLM-powered natural language querying, broken flow detection, and real-time streaming answers.
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