RAGSUITE-AMD

RAGSUITE-AMD is a commercial Linux application in the Education category that applies Retrieval-Augmented Generation to documents and SQL-based data. It is designed as an offline-first, no-code environment for working with both unstructured documents and structured databases. Users can interact with their data through natural-language questions without needing to write code.

The application can ingest PDFs, DOCX files, TXT files, HTML files, and other supported documents. Its processing pipeline includes OCR, text extraction, chunking, and indexing, allowing users to chat across multiple documents or ask questions about a specific file. Responses can include citations, helping users connect answers with the source material.

RAGSUITE-AMD runs entirely offline, so its data-processing workflow does not depend on cloud APIs such as OpenAI, AWS, or Google. It can connect to SQL-based databases including SQLite, PostgreSQL, and MySQL, and can translate natural-language questions into SQL using awareness of the database schema. This makes it suitable for local, air-gapped, enterprise, government, and research environments where data confidentiality is important.

On Linux, the application is installed through Snap with the command sudo snap install ragsuite-amd, followed by connections for OpenGL, hardware observation, and process control. MirrorNest links directly to the official release instead of hosting a mirrored copy, so the catalog serves as a route to the developer-provided distribution. RAGSUITE-AMD is developed by Felamity Technologies and is distributed under a commercial license.