Past Webinars

Recorded on: August 21, 2024  

Uncover the various ways to use a RAG solution with PoolParty and GraphDB

We’re familiar with RAG - but which RAG is the right fit? As organizations increasingly rely on AI-driven information retrieval and generation, traditional Retrieval Augmented Generation (RAG) systems often fall short in production environments. Various solutions have emerged to address this challenge, recognizing that “one size does not fit all” - each organization has unique requirements to tackle this issue within their framework. Increase efficiency by up to 20% with Semantic RAG (AKA Graph RAG)

This webinar explores an innovative solution: Semantic RAG, which harnesses the power of knowledge graphs, large language models (LLMs), and graph databases to enhance semantic retrieval and generation capabilities.

A key focus will be on LLM-derived knowledge graphs, demonstrating how they can be created and refined with human-in-the-loop processes to achieve greater accuracy and explainability. We'll explore memory constructs in Graph RAG operations, illustrated through practical demonstrations using PoolParty and GraphDB.

We will dive into a real-world case study and explore the pipeline, architecture, and practical applications of Semantic RAG systems.  This will showcase valuable insights into the seamless collaboration between PoolParty and GraphDB to deliver a robust Semantic RAG solution. Expert strategies will be shared for maximizing the impact of these innovative technologies by shortening time to insight, providing savvy querying for the untrained, and lowering long term maintenance costs.

Márcia Ferreira, Data and Knowledge Engineer (Technical Consultant) at Semantic Web Company, and Krasimira Bozhonova, Solutions Architect at Ontotext, will walk you through the following aspects and explain the benefits of a Semantic RAG approach:

• Vector RAG vs. Graph RAG

• Grounding LLMs with Graph

• Conventional RAG vs. Semantic RAG

• Different varieties of Graph RAG

• Demo of PoolParty Semantic RAG and GraphDB

In the meantime, have a look at our Semantic Retrieval Augmented Generation page to learn more about the capabilities and benefits of utilizing Knowledge Graphs to power your Generative AI experience.

We hope to see you there!

Presented by: Márcia Ferreira, Semantic Web Company Márcia R. Ferreira is a Data and Knowledge Engineer (Technical Consultant) at Semantic Web Company. By implementing state-of-the-art semantic systems, Márcia ensures customers' data requirements are met at the highest level. She is interested in integrating LLMs with graph technologies for impactful applications in knowledge-intensive industries. Krasimira Bozhanova, Ontotext Krasimira Bozhanova is a Solutions Architect at Ontotext, starting her way as a developer and contributing to many of the company's significant client projects. In recent years she has been a part of the AI in Action Ontotext initiative which puts Ontotext products at the heart of various AI applications.

Recorded on: August 7, 2024

Recorded on June 5, 2024

Recorded on May 9, 2024

Recorded on February 7, 2024   When should regression testing be performed? Regression analysis of PDFs allows you to test system changes, changes to CMS, changes to stylesheet, changes to formatting software, and changes to graphic software. Regression testing should take place anytime your system, hardware, or software changes to determine if what was correct in the output is still correct in output. Changes may result in content disappearing, incorrect formatting, changes to the integrity of images and tables, and many other (sometimes subtle) issues that invalidate the reliability of the document. Antenna House Regression Testing System is for Automated – Fast – Accurate PDF to PDF & Image to Image Visual Comparisons

Presented by Michael Miller

Michael Miller is Vice President of Antenna House, Inc., a company that has developed one of the leading standards‐based (XSL‐FO and CSS) document formatting software products on the market today. Michael has a degree in Printing Engineering and Management and has been involved in high‐end composition, document formatting, and document management for over 40 years. He has an extensive background with structured data, including SGML, XML, S1000D, and DITA. During his career, he has worked in Europe and North America and has been involved in the implementations of some of the largest fully automated publishing and document formatting projects.

Recorded on: February 8, 2024   Presented by: André Schlotz, RWS; Hareesh K, Sandvik Mining and Construction GmbH; and Harald Stadlbauer, MD, NINEFEB

André Schlotz is VP Global Automotive and Manufacturing Solutions, RWS Group. He helps organizations to digitalize their content supply chain through structured content authoring, component content management and single source content delivery. Before joining RWS in 2013 he was holding various management positions in manufacturing companies in product development, aftersales, process organization and IT. He has more than 20 years of experiences in process consulting, planning, building and running digital industry solutions.

Hareesh Kanakaswamy is the Portfolio Manager of Digital Services Solutions at Sandvik Mining and Construction G.m.b.H. With 14+ years of experience in product development and aftermarket operations, he specializes in constructing end-to-end digital ecosystems for servitization strategies. Hareesh is a firm believer in innovation as the key to sustainable progress for humanity. Harald Stadlbauer, MD is General Manager of the NINEFEB Group of companies, dedicated to the advancement of Technical Communication, like Technical Documentation as well as eLearning to the intelligent delivery of it. He is actively engaged in developing iiRDS further as well as contributing to the AAS (Asset Administration Shell) sub-models of the IDTA (Industrial Digital Twin Association)            

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