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How Dataherald Makes Natural Language to SQL Easy "How Dataherald Makes Natural Language to SQL Easy" is already in English.

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Type: Web Article Original link: https://blog.langchain.com/dataherald/ Publication date: 2025-09-06


Summary
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WHAT - This article discusses Dataherald, an open-source engine for converting natural language to SQL (NL-to-SQL). Dataherald is built on LangChain and allows developers to integrate and customize NL-to-SQL conversion models into their applications.

WHY - It is relevant for AI business because it solves the problem of generating semantically correct SQL from natural language text, a task in which general language models (LLM) often fail. Dataherald allows for improving the accuracy and efficiency of SQL queries generated from natural language input.

WHO - The main actors are the open-source community and companies using Dataherald to enhance data interaction. LangChain is the framework on which Dataherald is built.

WHERE - It positions itself in the NL-to-SQL solutions market, offering an open-source and customizable alternative to proprietary solutions.

WHEN - Dataherald is currently in active development, with plans for future integrations and improvements. It is a relatively new project but already adopted by companies of various sizes.

BUSINESS IMPACT:

  • Opportunities: Integrating Dataherald into our stack to improve NL-to-SQL conversion capabilities, reducing development time and improving query accuracy.
  • Risks: Competition with proprietary solutions that may offer advanced support and features.
  • Integration: Dataherald can be easily integrated with our existing stack thanks to its LangChain base and API availability.

TECHNICAL SUMMARY:

  • Core technology stack: LangChain, LangSmith, API, relational databases, fine-tuned language models.
  • Scalability: Good scalability thanks to the use of APIs and the possibility of fine-tuning models.
  • Architectural limits: Dependence on the quality of training data and the availability of accurate metadata.
  • Technical differentiators: Use of LangChain agents for NL-to-SQL conversion, support for model fine-tuning, integration with relational databases.

Use Cases
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  • Private AI Stack: Integration into proprietary pipelines
  • Client Solutions: Implementation for client projects
  • Strategic Intelligence: Input for technological roadmap
  • Competitive Analysis: Monitoring AI ecosystem

Resources
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Original Links #


Article recommended and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-06 10:29 Original source: https://blog.langchain.com/dataherald/

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