Introduction

The Workspace for RAG Applications is an ideal starting point for anyone looking to harness the power of advanced document structuring in combination with LLMs. This workspace leverages cutting-edge segmentation techniques to organize your documents, ensuring that the Large Language Model (LLM) generates answers that are accurate, reliable, and traceable.

By structuring your documents effectively, this workspace enables smarter data chunking, which is crucial for enhancing the performance of both RAG- and LLM-applications. You can experience these benefits firsthand by chatting with your uploaded documents, observing how structured data improves the quality and precision of the responses.

Build Your RAG Pipeline

Upload Documents

Upload an initial set of documents to be analyzed. You can always add more later to extend the system’s knowledge.

Open

Open

Acodis is Structuring

Acodis analyzes your documents and runs a set of generic processing steps such as

• Optical Character Recognition

• Table Detection

• Page Segmentation

Ready-to-Use Workflow

A generic RAG-pipeline has been built for you, allowing you to chat with your documents.

What next?

Explore and expand your workflow to suit your needs by

• amending the workflow

• changing the analysis

• add more import/export channels