Dataherald/dataherald
Interact with your SQL database, Natural Language to SQL using LLMs
This tool helps business users, like marketers or sales managers, get answers from their company's databases without needing a data analyst. You simply ask questions in plain English, and it retrieves the relevant data. It's designed for anyone who needs quick insights from relational data to make informed decisions.
3,620 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to allow non-technical business users to directly query your relational databases using everyday language.
Not ideal if your data is unstructured or if you require deep, complex statistical analysis that goes beyond simple data retrieval.
Stars
3,620
Forks
261
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 24, 2024
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Dataherald/dataherald"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
mindsdb/mindsdb
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
dataease/SQLBot
🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
vanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
weAIDB/CrackSQL
LLM-based Dialect Translation System
Canner/WrenAI
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL...