Advanced RAG — Evaluation, Hybrid Search, Reranking and Multimodal
Advanced RAG training covering advanced retrieval (query decomposition, HyDE, step-back prompting), reranking (cross-encoder, Cohere Rerank, ColBERT), multimodal RAG (images, tables, PDF), graph RAG (knowledge graphs + LLM), evaluation frameworks (RAGAS, DeepEval), RAG fusion and routing, and cost and latency optimization.
Why choose this training?
Advanced RAG training covering advanced retrieval (query decomposition, HyDE, step-back prompting), reranking (cross-encoder, Cohere Rerank, ColBERT), multimodal RAG (images, tables, PDF), graph RAG (knowledge graphs + LLM), evaluation frameworks (RAGAS, DeepEval), RAG fusion and routing, and cost and latency optimization. This training combines theoretical knowledge with intensive hands-on exercises, enabling participants to immediately apply their skills in daily work. The program is designed and delivered by practitioners with real-world experience.
What you will learn
You will gain comprehensive knowledge and practical skills in advanced rag. The program covers all key aspects from foundational concepts through advanced techniques to real-world implementation patterns.
Through hands-on exercises and realistic scenarios, you will develop the ability to apply learned concepts in your organization. After completing the training, you will have actionable knowledge that translates directly into improved capabilities for your team and organization.
Benefits
- Understand and apply advanced rag
- Design and implement solutions based on best practices
- Evaluate tools and approaches
- Build implementation roadmap
- Integrate with existing processes
- Measure and optimize outcomes
Who is this training for?
Prerequisites
- IT experience or domain expertise
- Basic understanding of AI concepts is helpful
- Willingness to learn and experiment
Training program
Module 1: Advanced RAG training covering advanced retrieval (query decomposition
- Overview and key concepts — Advanced RAG training covering advanced retrieval
- Architecture and design decisions
- Hands-on implementation — workshop
- Configuration and optimization
- Best practices and common pitfalls
- Real-world case studies
Module 2: step-back prompting)
- Overview and key concepts — step-back prompting)
- Architecture and design decisions
- Hands-on implementation — workshop
- Configuration and optimization
- Best practices and common pitfalls
- Real-world case studies
Module 3: reranking (cross-encoder
- Overview and key concepts — reranking (cross-encoder
- Architecture and design decisions
- Hands-on implementation — workshop
- Configuration and optimization
- Best practices and common pitfalls
- Real-world case studies
Module 4: Cohere Rerank
- Overview and key concepts — Cohere Rerank
- Architecture and design decisions
- Hands-on implementation — workshop
- Configuration and optimization
- Best practices and common pitfalls
- Real-world case studies
Module 5: multimodal RAG (images
- Overview and key concepts — multimodal RAG (images
- Architecture and design decisions
- Hands-on implementation — workshop
- Configuration and optimization
- Best practices and common pitfalls
- Real-world case studies
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Is this training suitable for my level?
This training is at advanced. Check prerequisites above.
What practical exercises are included?
Hands-on exercises in prepared lab environment with realistic scenarios.
Will I receive a certificate?
Yes — EITT certificate of completion plus comprehensive materials.
Why choose EITT?
2500+ trainings in our catalog. Practitioners with real-world experience.
Request a quote
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