Trellis - Unstructured Data Analysis with AI

Product Information
Key Features of Trellis - Unstructured Data Analysis with AI
Unstructured data analysis with SQL queries and AI-powered schema generation.
LLM-based Schema Generation
Automatically generate schemas for unstructured data, making it easier to analyze and query.
SQL Queries on Unstructured Data
Execute SQL queries on unstructured data, simplifying data analysis and insights.
AI-driven Data Extraction
Extract relevant data from unstructured sources using advanced AI algorithms.
Scalable Data Processing
Process large volumes of unstructured data quickly and efficiently.
Real-time Insights
Gain real-time insights from unstructured data, enabling data-driven decision-making.
Use Cases of Trellis - Unstructured Data Analysis with AI
Analyze customer feedback from social media and reviews.
Extract insights from unstructured text data, such as emails and documents.
Integrate unstructured data with structured data for comprehensive analysis.
Pros and Cons of Trellis - Unstructured Data Analysis with AI
Pros
- Simplifies unstructured data analysis with SQL queries.
- Automates schema generation and data extraction.
Cons
- May require significant computational resources.
- Limited support for certain data formats.
How to Use Trellis - Unstructured Data Analysis with AI
- 1
Connect your unstructured data sources to Trellis.
- 2
Use Trellis's LLM-based schema generation to create a schema.
- 3
Execute SQL queries on your unstructured data.