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Supametas.AI

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💬76
💲Freemium

Supametas.AI transforms unstructured data into structured data suitable for LLM RAG systems. It supports text, audio, video, and image formats, enabling efficient data collection, preprocessing, and integration into knowledge bases. The platform offers flexible pricing plans, including a free tier, and integrates with popular LLM RAG platforms.

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Platform
web
AI toolAudio processingData extractionData structuringETLImage processingKnowledge base

What is Supametas.AI?

Supametas.AI is a platform that converts unstructured data into structured data ready for use with Large Language Models (LLMs) in Retrieval-Augmented Generation (RAG) systems. It helps users build and preprocess knowledge bases efficiently by supporting various data formats like text, audio, video, and images. The tool simplifies tasks such as webpage crawling, data extraction, and ETL processes, making it ideal for creating industry-specific datasets for LLM RAG retrieval.

Core Technologies

  • Unstructured data processing
  • LLM RAG integration
  • Natural language prompts for field extraction
  • Webpage crawling
  • Data extraction
  • ETL processes

Key Capabilities

  • Convert unstructured data to structured data
  • Support multiple data formats
  • Integrate with LLM RAG knowledge bases
  • Automate data collection and preprocessing
  • Extract fields using natural language prompts

Use Cases

  • Creating industry-specific datasets for LLM RAG retrieval
  • Processing digital human avatar data for AI models
  • Converting podcast audio/video content into structured knowledge bases
  • Automating data collection and preprocessing workflows

Core Benefits

  • Simplifies complex data processing workflows for LLM RAG
  • Supports multiple data formats for versatile use cases
  • Provides automated field extraction with natural language prompts
  • Offers flexible data collection methods from APIs, URLs, or local files
  • Integrates seamlessly with popular knowledge bases

Key Features

  • Converts unstructured data to structured data
  • Supports text, audio, video, and image formats
  • Enables webpage crawling and data extraction
  • Integrates with LLM RAG knowledge bases
  • Provides automated field extraction using natural language prompts

How to Use

  1. 1
    Collect data from APIs, URLs, or local files
  2. 2
    Process the data using Supametas.AI's tools
  3. 3
    Integrate the processed data into LLM RAG knowledge bases via API
  4. 4
    Monitor resource usage and upgrade plans as needed

Pricing Plans

Free

$0
Create 1 dataset, Total dataset size 50M, Register an account to receive a built-in AI model with 50,000 Tokens

Personal

$9
Can create 1 datasets, Total dataset size 100M, First-time subscription includes built-in AI model with 100,000 Tokens

Pro

$19
Can create 5 datasets, Total dataset size 1024 M, First-time subscription includes built-in AI model with 400,000 Tokens

Pro+

$59
Can create 20 datasets, Total dataset size 5120 M, First-time subscription includes built-in AI model with 1,000,000 Tokens

Enterprise

Contact us
Customizable datasets, capacity, and tokens. Contact for details.

Frequently Asked Questions

Q.Can I try Supametas.AI before subscribing?

A.Yes, you can try Supametas.AI for free under the Free plan, allowing you to experience all the features of the current version until you reach the resource limits.

Q.What are built-in AI models and external AI models?

A.Built-in AI models are pre-integrated models within the system that process data at critical nodes, consuming tokens. External AI models can be added when creating datasets, and supported providers are detailed in the package description.

Q.How to get the Enterprise Edition?

A.Contact business@supametas.ai with your background and requirements to discuss options for the Enterprise Edition.

Pros & Cons (Reserved)

✓ Pros

  • Simplifies unstructured data processing for LLM RAG
  • Supports multiple data formats
  • Offers flexible data collection methods
  • Integrates with popular knowledge bases
  • Provides automated field extraction

✗ Cons

  • May require a learning curve to fully utilize all features
  • Token consumption for built-in AI models
  • SaaS version may raise data privacy concerns for some users

Alternatives

No alternatives found.