Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Retrieval-Augmented Generation (RAG)
- Understanding what RAG is and its importance for enterprise AI
- Key components of a RAG system: retriever, generator, and document store
- Comparison with standalone LLMs and vector search approaches
Setting Up a RAG Pipeline
- Installing and configuring Haystack or comparable frameworks
- Document ingestion and preprocessing steps
- Connecting retrievers to vector databases (e.g., FAISS, Pinecone)
Fine-Tuning the Retriever
- Training dense retrievers using domain-specific data
- Leveraging sentence transformers and contrastive learning
- Evaluating retriever quality via top-k accuracy
Fine-Tuning the Generator
- Selecting base models (e.g., BART, T5, FLAN-T5)
- Contrasting instruction tuning with supervised fine-tuning
- Utilizing LoRA and PEFT methods for efficient updates
Evaluation and Optimization
- Metrics for assessing RAG performance (e.g., BLEU, EM, F1)
- Managing latency, retrieval quality, and reducing hallucinations
- Experiment tracking and iterative improvement strategies
Deployment and Real-World Integration
- Deploying RAG in internal search engines and chatbots
- Addressing security, data access, and governance considerations
- Integrating with APIs, dashboards, or knowledge portals
Case Studies and Best Practices
- Enterprise use cases across finance, healthcare, and legal sectors
- Managing domain drift and updating knowledge bases
- Future trends in retrieval-augmented LLM systems
Summary and Next Steps
Requirements
- A solid understanding of natural language processing (NLP) concepts
- Experience with transformer-based language models
- Familiarity with Python and fundamental machine learning workflows
Audience
- NLP engineers
- Knowledge management teams
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
