Extracto: Your Private Self-Hosted Document Brain

Extracto turns your PDFs into a private, self-hosted, and pluggable RAG system for advanced document management.

Extracto: Private Self-Hosted Document Brain for Developers

Extracto is a self-hosted RAG (Retrieval Augmented Generation) system designed to transform your PDF documents into a private, searchable knowledge base. Built for developers, it offers a robust solution for managing and querying large volumes of unstructured data without relying on external cloud services. This tool empowers you to build sophisticated AI applications that leverage your own documents as a private data source.

What Extracto Does

Extracto ingests PDF files and processes them to create an indexable knowledge base. It then provides an API that allows you to query this knowledge base using natural language. The system is designed to be pluggable, meaning you can integrate it into your existing AI workflows and applications. By keeping your data private and self-hosted, Extracto ensures data security and control, which is crucial for sensitive information or proprietary datasets.

Key Features

Private & Self-Hosted: All data and processing occur on your own infrastructure, ensuring complete data privacy and security.
PDF to RAG Conversion: Efficiently converts PDF documents into a structured format suitable for RAG applications.
Pluggable Architecture: Designed for easy integration into custom AI pipelines and applications.
Advanced Document Management: Enables sophisticated querying and retrieval of information from your document collection.
Developer-Focused: Built with developers in mind, offering technical control and flexibility.

Who Extracto is For

Extracto is ideal for AI developers, data scientists, and organizations that require a secure, private, and customizable solution for document-based AI applications. If you are working with sensitive intellectual property, proprietary research, or need to maintain strict data governance, Extracto provides the necessary infrastructure. It's particularly useful for building internal knowledge management systems, research assistants, or any application where private document retrieval is a core requirement.