Unstructured data ETL platform

Supametas.AI

Unstructured data ETL platform

Supametas.AI is an unstructured data ETL platform designed to simplify the process of converting various data formats into structured data suitable for LLM RAG (Retrieval-Augmented Generation) applications. It caters to enterprises looking to efficiently collect, construct, and preprocess industry-specific datasets for integration into LLM knowledge bases. Key Features: Versatile Data Collection: Supports data ingestion from multiple sources, including APIs, web pages, local files (docx, pdf, txt, md, json), images (jpg, png), audio (mp3), and video (mov, mp4, mpv). Standardized Output: Extracts data into standard JSON and Markdown formats, ensuring compatibility with various LLM frameworks. LLM RAG Integration: Seamlessly integrates with LLM RAG knowledge bases, including OpenAI Storage and Dify Datasets, with API support for custom integrations. User-Friendly Interface: Offers a zero-threshold, out-of-the-box experience, enabling quick creation of industry datasets. Data Privacy: Provides options for both SaaS and private Docker deployment to address enterprise data privacy needs. Use Cases: Knowledge Base Creation: Rapidly build and maintain LLM knowledge bases with structured data extracted from diverse sources. Data Preprocessing: Streamline data preprocessing pipelines for LLM applications, reducing manual effort and improving data quality. Digital Avatar Data Processing: Process digital human avatar data for use in AI applications. Content Transformation: Transform raw data into desired content formats, boosting productivity and efficiency. Podcast/Video Data Integration: Convert podcast audio and video data into LLM knowledge bases.
  • Supametas.AI
  • Supametas.AI
  • Supametas.AI
  • Supametas.AI

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    About this launch

    Supametas.AI was launched by Benson in February 11th 2025.

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