RAG & LLM Applications · Kaiserslautern
RAG & LLM Applications training in Kaiserslautern
Develop RAG and LLM applications: embeddings, vector databases, chunking, retrieval, evaluation, cost control and data protection.
All 29 RAG & LLM Applications courses are also available in Kaiserslautern – in a centrally located training room or at your premises on request.
Retrieval-augmented generation connects language models to your own knowledge: manuals, contracts, tickets, wikis or product data are made searchable and handed to the model as context at runtime. The result is assistants that give grounded answers with citations instead of hallucinating. In this two-day course you build a complete RAG pipeline, from document preparation through embeddings and a vector database to answer generation, and you learn which levers actually determine quality.
Kaiserslautern is a renowned centre for computer science and AI research with a university and research institutes. Our training room gives teams from the Palatinate, Saarland and the Rhine-Neckar region easy access to hands-on AI training.
Suggested dates – Kaiserslautern
All dates are suggestions – your preferred date is always possible.
- Tue, 24 November 2026 – Wed, 25 November 2026 Kaiserslautern Request
- Thu, 3 December 2026 – Fri, 4 December 2026 Kaiserslautern Request
- Tue, 15 December 2026 – Wed, 16 December 2026 Kaiserslautern Request
- Mon, 18 January 2027 – Tue, 19 January 2027 Kaiserslautern Request
- Tue, 2 February 2027 – Wed, 3 February 2027 Kaiserslautern Request
- Wed, 17 February 2027 – Thu, 18 February 2027 Kaiserslautern Request
Core content of every RAG & LLM Applications course
Module 1 Foundations of RAG and LLM applications
- Anatomy of a RAG pipeline: ingestion, indexing, retrieval, generation
- Understanding embeddings: semantic similarity, dimensions, model selection
- Weighing RAG against fine-tuning and long context windows
- Structured outputs, citations and dealing with hallucinations
Module 2 Document preparation and chunking
- Reliably extracting PDFs, Office documents, HTML and tables
- Chunking strategies: fixed size, structure-aware, semantic, with overlap
- Enriching metadata and generating contextual summaries per chunk
- Incremental updates and deletion of documents in the index
Module 3 Vector databases and retrieval strategies
- Comparing vector databases and extensions such as pgvector, Qdrant, Weaviate or OpenSearch
- Hybrid search combining vector and full-text search with BM25
- Reranking, metadata filtering and query rewriting
- Agentic retrieval: letting the model decide on search steps and tools
Module 4 Evaluation and quality assurance
- Building and maintaining test sets from real user questions
- Retrieval metrics such as recall and precision, and answer metrics such as faithfulness
- Using and calibrating LLM-as-a-judge sensibly
- Regression testing when chunking, model or prompt changes
Module 5 Operations, cost and data protection
- Prompt caching, batch processing and model choice to cut costs
- Optimising latency and streaming responses
- Document-level permissions, tenant isolation and protection against prompt injection
- Data protection: data residency, processing agreements, deletion policies, GDPR and the EU AI Act
RAG & LLM Applications courses in Kaiserslautern
- RAG & LLM Applications for AI Engineers
- RAG & LLM Applications for API Developers
- RAG & LLM Applications for C# and .NET Developers
- RAG & LLM Applications for C/C++ and Embedded Developers
- RAG & LLM Applications for Citizen Developers
- RAG & LLM Applications for Data Engineers
- RAG & LLM Applications for Data Scientists and ML Engineers
- RAG & LLM Applications for DevOps and Cloud Teams
- RAG & LLM Applications for Go Developers
- RAG & LLM Applications for Internal Tools and Automation
- RAG & LLM Applications for Java and Spring Developers
- RAG & LLM Applications for JavaScript and TypeScript Developers
- RAG & LLM Applications for Kubernetes and Microservices Teams
- RAG & LLM Applications for Legacy Modernisation
- RAG & LLM Applications for Startups and MVP Development
- RAG & LLM Applications for Mobile Developers
- RAG & LLM Applications for Node.js Back-End Developers
- RAG & LLM Applications for PHP Developers
- RAG & LLM Applications for Python Developers
- RAG & LLM Applications for React and Front-End Developers
- RAG & LLM Applications for Rust Developers
- RAG & LLM Applications for SAP ABAP Developers
- RAG & LLM Applications for SQL and Database Professionals
- RAG & LLM Applications for Salesforce Developers
- RAG & LLM Applications for Security and DevSecOps Teams
- RAG & LLM Applications for Software Architects
- RAG & LLM Applications for Tech Leads and Engineering Managers
- RAG & LLM Applications for Test Automation and QA
- RAG & LLM Applications for Web Developers
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