The Evolution of RAG to Agentic RAG with Knowledge Graphs
Enquire nowOverview
This hands-on, in-depth workshop explores the progression of Retrieval-Augmented Generation (RAG) to Agentic RAG, highlighting how modern AI systems can autonomously retrieve, reason, and act. Participants will delve into the integration of Knowledge Graphs to enhance AI’s ability to structure, contextualise, and interpret complex information.
Combining theoretical foundations with practical application, this workshop features live coding sessions using cutting-edge tools like LangChain, FAISS, graph databases, and OpenAI APIs. By the end of the session, participants will understand both the conceptual architecture and practical implementation of agentic AI systems that leverage structured knowledge for improved reasoning and decision-making.
Learning Outcomes
A solid understanding of RAG fundamentals and its evolution into agentic systems
Practical skills in building and optimising a RAG pipeline
Insights into integrating Knowledge Graphs for enhanced AI reasoning
Hands-on experience with tools such as LangChain, FAISS, and OpenAI APIs
The ability to evaluate and design more intelligent, context-aware AI solutions
Location:
London, UK
Duration:
1 Day
Intakes:
August / September
Course Fee:
£1,200
Who is This Course For
- The session is relevant for anyone seeking to advance from basic LLM integration to the next level of autonomous, structured, and goal-directed AI. In particular, this session is ideal for:
- AI/ML practitioners looking to build more context-aware AI systems.
- Data scientists and engineers interested in applied knowledge graph integration.
- Technical product managers exploring the next generation of LLM capabilities.
- Researchers and academics working on natural language processing and AI reasoning.
Topics Covered and Practical Implementations
- Understanding RAG: Fundamentals and Challenges
- How AI Uses RAG to Improve Answers
- Hands-on: Building a Basic RAG Pipeline
- Optimising RAG: Better Search and AI Responses
- Agentic RAG: Smarter AI with Reasoning and Planning
- Hands-on: Integrating Knowledge Graphs
- Navigating the Landscape of LLMs
Learning Outcomes
- A solid understanding of RAG fundamentals and its evolution into agentic systems.
- Practical skills in building and optimizing a RAG pipeline.
- Insights into integrating Knowledge Graphs for enhanced AI reasoning.
- Hands-on experience with tools such as LangChain, FAISS, and OpenAI APIs.
- The ability to evaluate and design more intelligent, context-aware AI solutions.
Our London Campus
Our city centre campus, in the heart of London, offering dynamic short courses.
Fees & Admissions
Eligibility Criteria
This course is open to working professionals from any industry or sector. It is recommended for participants with some experience in AI, data science, or software development who wish to explore advanced RAG and knowledge graph integration.
Course Fees
£1,200 per course
How To Apply
To apply, please contact us via email at: executive.education@gisma.com
For more information about the course or to discuss any queries, feel free to reach out to our executive education team. We look forward to welcoming you to this enriching learning experience.
About Gisma University of Applied Sciences
Gisma University of Applied Sciences, located in Germany, is renowned for its forward-thinking approach to higher education, offering a range of programmes designed to equip students with the skills needed in today’s dynamic business environment. In addition to its full-time degree programmes, Gisma extends its expertise globally by offering short courses in London. These courses are tailored to working professionals seeking to enhance their knowledge and competencies in various fields, such as innovation management, with a focus on practical and actionable insights.