DataHerald

Dataherald is a software company that provides a natural language-to-SQL API, enabling developers to integrate text-to-SQL capabilities into their products. This tool allows users to deploy the Dataherald engine within minutes using a hosted API, enhancing the interaction between natural language queries and SQL databases.

Key features:

- Natural Language-to-SQL API: Converts natural language queries into SQL commands efficiently.
- Custom Agents and Fine-Tuning: Combines custom agents with fine-tuning and built-in evaluation for enhanced performance.
- Semantic Layer Creation: Injects business context directly into tables, columns, or entire databases.
- Built-in Evaluator: Monitors the model's performance over time and enables feedback learning.
- Open Source Community: Supports an open-source model with more than 100 deployments, encouraging community development and collaboration.
- Fine-Tuning Support: Provides fine-tuning capabilities on GPT 3.5 and GPT 4, improving accuracy and latency.
- Usage-Based Pricing: Implements a flexible pricing model that charges self-serve users based on their actual usage without minimums or plan fees.
- BYOC (Bring Your Own Code): Ensures seamless integration into existing data stacks.
- Synthetic Data Generation: Enhances agent performance through fine-tuning on synthetic data.

How it works:

1. Configure the Dataherald Engine: Users set up the engine quickly and deploy it in their application.
2. Add Business Context: Developers add instructions directly to their database resources to capture unique business contexts.
3. Monitor and Fine-Tune: Through the admin console, users observe every query, model, and fine-tuning process, enabling continuous improvement.

Integrations:

BigQuery, PostgreSQL, Databricks, Snowflake

Use of AI:

Dataherald leverages generative artificial intelligence through its support for fine-tuning on GPT 3.5 and GPT 4 models. This approach allows the platform to deliver highly accurate and fast text-to-SQL translations, tailored to the specific needs and contexts of different businesses.

Target users:

- Developers seeking to integrate text-to-SQL capabilities into their applications
- Businesses looking to enhance database querying with natural language processing

How to access:

Dataherald is primarily available as a web app, offering a hosted API that developers can integrate into their applications with just a few lines of code. The platform provides a user-friendly admin console for configuration, observation, and fine-tuning of queries and models.

Open Source Status:

Dataherald is an open-source platform, encouraging contributions and deployments from the developer community, which aligns with its commitment to innovation and collaboration in the field of generative AI and database management.