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

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
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    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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Public Training

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Provisional Upcoming Courses (Contact Us For More Information)

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

2025-06-30 09:30
14 hours
Leicester

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

2025-07-14 09:30
14 hours
York

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

2025-07-28 09:30
14 hours
Coventry

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