Dataherald/dataherald
dataherald
Interact with your SQL database, Natural Language to SQL using LLMs
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Dataherald
Dataherald • individual
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263
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Created
Jun 20, 2023
Project creation date
README Summary
Dataherald is a natural language-to-SQL engine that allows users to interact with their SQL databases using plain English questions. It leverages Large Language Models (LLMs) to automatically generate SQL queries from natural language input, making database querying accessible to non-technical users.
AI Dev Skills
Unmapped
Natural Language to SQL TranslationLarge Language Model IntegrationRetrieval-Augmented GenerationDatabase Schema UnderstandingQuery OptimizationPrompt EngineeringText-to-Code Generation
Tags
Natural Language to SQL TranslationLarge Language Model IntegrationRetrieval-Augmented GenerationDatabase Schema UnderstandingQuery OptimizationPrompt EngineeringText-to-Code GenerationNatural Language InterfacesCloud APIDatabase Exploration for Non-Technical UsersSQL Query GenerationSelf-hostedTabularSelf-Service Business AnalyticsData AnalyticsTextCode GenerationDemocratization of Data AccessBusiness Process AutomationDatabase ManagementAutomated Report GenerationNatural Language Database QueryingEnterprise SoftwareOn-premiseBusiness IntelligencePython
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Recent Activity
Updated 1 years ago
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Quality
beta- Quality
- medium
- Maturity
- beta
Categories
Evals & BenchmarkingPrimaryCoding & Dev ToolsData Science & AnalyticsRAG & RetrievalNLP & TextDev Tools & AutomationFoundation ModelsAI AgentsModel Training
PM Skills
Scale & Reliability
Languages
Python100.0%
Timeline
- Project created
- Jun 20, 2023
- Forked
- Mar 22, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jul 24, 2024
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