Decentralized Knowledge Graph

Supercharge Your AI with Custom Knowledge

Large language models are trained on vast amounts of public data, which means they may lack specific knowledge relevant to your needs. Metazero's Datasets feature solves this problem by enabling Retrieval Augmented Generation (RAG).

What is RAG?

RAG allows you to connect your AI applications to your own custom knowledge bases. When a user asks a question, Metazero retrieves the most relevant information from your datasets and provides it to the AI model as context, resulting in more accurate and informed responses.

Effortless Knowledge Integration

Metazero simplifies RAG with an intuitive visual interface. Easily manage your personal or team knowledge bases and integrate them into your AI applications.

Supported Data Formats and Sources

Metazero supports a wide range of data formats, including:

• Text: TXT, Markdown, DOCX, HTML, JSONL, PDF

• Structured Data: CSV, Excel

We're also continuously adding support for syncing data from various sources:

• Web Scraping

• Notion

• No-SQL database (Coming soon)

• SQL Database (Coming soon)

Build Powerful AI Applications

Imagine building an AI customer service assistant that can access your company's knowledge base and product documentation. With Metazero Datasets, you can easily upload your documents and create a powerful chatbot in a fraction of the time it used to take.

Datasets and Documents: A Quick Overview

• Dataset: A collection of documents that serves as a retrieval context for your AI applications.

• Document: A unit of information within a dataset, typically corresponding to a single file.

Metazero Datasets empower you to build AI applications that are truly tailored to your specific needs.