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!

Multilingual content is fundamental for successful communication with other people, cultures, and markets. Naturally, the quality of translations is of central importance. Often, these quality assurance processes are unsystematic and rely on spontaneous “feedback” from in-country reviewers. However, more often than not, these review processes lead to long waiting times, frustrating discussions, no real process improvements, and thus impede strategic and sustainable language quality management.

We share how

• to define translation quality
• to measure translation quality
• to involve and instruct all stakeholders
• to manage translation quality actively and sustainably

Join us to learn which aspects and stakeholders you need to take into consideration on your way to successful quality management of multilingual content.