Course Outline

Introduction to Retrieval-Augmented Generation (RAG)

  • What is RAG and why it matters for enterprise AI
  • Components of a RAG system: retriever, generator, document store
  • Comparison with standalone LLMs and vector search

Setting Up a RAG Pipeline

  • Installing and configuring Haystack or similar frameworks
  • Document ingestion and preprocessing
  • Connecting retrievers to vector databases (e.g., FAISS, Pinecone)

Fine-Tuning the Retriever

  • Training dense retrievers using domain-specific data
  • Using sentence transformers and contrastive learning
  • Evaluating retriever quality with top-k accuracy

Fine-Tuning the Generator

  • Selecting base models (e.g., BART, T5, FLAN-T5)
  • Instruction tuning vs. supervised fine-tuning
  • LoRA and PEFT methods for efficient updates

Evaluation and Optimization

  • Metrics for evaluating RAG performance (e.g., BLEU, EM, F1)
  • Latency, retrieval quality, and hallucination reduction
  • Experiment tracking and iterative improvement

Deployment and Real-World Integration

  • Deploying RAG in internal search engines and chatbots
  • Security, data access, and governance considerations
  • Integration with APIs, dashboards, or knowledge portals

Case Studies and Best Practices

  • Enterprise use cases in finance, healthcare, and legal
  • Managing domain drift and knowledge base updates
  • Future directions in retrieval-augmented LLM systems

Summary and Next Steps

Requirements

  • An understanding of natural language processing (NLP) concepts
  • Experience with transformer-based language models
  • Familiarity with Python and basic 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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

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Upcoming Courses

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

2026-01-27 09:30
14 hours
Bilbao

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

2026-02-10 09:30
14 hours
Madrid - Chamartín Business Area

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

2026-02-24 09:30
14 hours
Malaga City Center

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

2026-03-10 09:30
14 hours
Barcelona City

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

2026-03-24 09:30
14 hours
Valencian Community

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