Supametas.AI
S
Supametas.ai
Overview :
Supametas.AI is a platform focused on unstructured data processing, designed to help businesses rapidly convert various data formats—such as audio, video, images, and text—into structured data suitable for LLM RAG knowledge bases. The platform significantly simplifies the data processing workflow by offering multiple data collection methods and powerful preprocessing features, lowering the barriers for businesses to build industry datasets. Its seamless integration with LLM RAG knowledge bases enables companies to leverage data more efficiently for business growth. Supametas.AI aims to be a leading platform for structured LLM data processing, addressing enterprises' needs for data privacy and flexibility.
Target Users :
This product is ideal for businesses that need to quickly build and manage industry datasets, especially those looking to transform unstructured data into structured data to support LLM RAG knowledge bases. It enables companies to save time and effort by focusing on value extraction from data rather than processing it.
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Top Region: VN(34.33%)
Website Views : 53.0K
Use Cases
Gamora: Processing web data to enhance work efficiency
Thanos: Flexibly acquiring data to meet LLM product demands
Sam Wilson: Converting podcast audio and video data into an LLM knowledge base
Features
Supports data collection from multiple sources, including APIs, web pages, local files, images, audio, and video
Converts collected data into standard formats like JSON and Markdown for easy processing and integration
Seamlessly integrates into LLM RAG knowledge bases like OpenAI Storage and Dify Datasets, with the option for custom integration via API
Offers a no-barrier, ready-to-use experience that allows users to get started quickly without complex configurations
Supports various file formats, including .docx, .pdf, .txt, .md, .json, .jpg, .png, .mp3, .mov, and .mp4
How to Use
Visit the official website at https://supametas.ai/zh and click on the 'Get Started' button
Choose a data source method (such as API, web page, local files, etc.) and create a task
Upload or input your data source; the platform will automatically perform data collection and preprocessing
View the generated structured data, with an option to integrate it into the LLM RAG knowledge base
Adjust data processing parameters as needed to optimize output results
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