Join Quantexa’s technical experts, @Parsa_Ghaffari and @Alexander_Arotsker, as they explore how Contextual Retrieval-Augmented Generation (RAG) enhances the power of LLMs and Generative AI by adding accurate and explanatory context. Learn how knowledge graphs ground prompts to reduce hallucinations, deliver reliable responses, and unlock real-world enterprise success.
In this session, you’ll discover how Quantexa tools like Q Assist integrate Contextual RAG with decision intelligence, combining entity resolution, data certainty, and graph-based insights to bring scalable, adaptive knowledge to GenAI workflows. Whether your focus is building AI pipelines or enhancing business use cases, this session will give you actionable strategies for success.
Whatever your role in creating Generative AI workflows—architect, data scientist, or engineer—this webinar will provide practical methodologies and examples to make your AI reliable and impactful.
In this webinar, you will learn:
- How Contextual RAG improves the RAG pipeline with enhanced explanatory context
- How knowledge graphs ground AI prompts to reduce hallucinations and deliver accurate responses
- Why entity resolution and data certainty are critical for successful AI pipelines
- Best practices for creating scalable and adaptive GenAI workflows
- How tools like Q Assist deliver contextual insights to users at scale
Speakers:
