Past Webinars

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

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 Alex Critchfield

• The Future of documents, - structured content and semantics from niche to mainstream
• Define Structured Content. What is it, and why is it so fundamentally different from formatted documents?
• What drives organizations to move from traditional authoring towards structured content authoring
• How can industries learn from each other? – Discussing benefits and features.
  • Content automation
  • Documents as data
  • Component based authoring
  • Future of documents

1. to launch a professional and scalable terminology process,
2. to convince your boss and your peers that your company needs it and
3. to get this off the ground quickly and efficiently with the help of modern terminology software?

Does this sound familiar: there is so much data in your organization, and it is not always clear which sources are up to date and really relevant to business decisions? Terminology can act as the single source of truth, breaking up data silos and providing the same information to every employee. But in order to achieve that, terminology needs to get close to the users and find its way into their systems.

We share how

• to implement the "single source of truth” in terminology work
• to connect your systems, e.g., ERP, CMS, PIM, CAT tools, etc.,
• to distribute the information
• to make this information usable for all

Join us for a tour that starts with your relevant data sources and ends with a clear and concise terminology process as a way of making sense and use of this data.

Christian Lang, Technical Consultant, has a wide range of experience and interests in the language field, proven by his degree in Japanese studies and translation. He first became involved with terminology management as a freelance translator for the European Patent Office. Since then, it has become one of his hobbies, as has research in the field of NLP on topics such as machine translation, automatic term extraction, and concept maps.