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Pragmatische Gen-AI-Anwendungen: Top Patterns & Lösungen für nahtlose LLM-Integration Christian Weyer | Co-Founder & CTO | Thinktecture AG | [email protected]

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§ Technology catalyst § AI-powered solutions § Pragmatic end-to-end architectures § Microsoft Regional Director § Microsoft MVP for AI § Google GDE for Web AI [email protected] https://www.thinktecture.com Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Christian Weyer Co-Founder & CTO @ Thinktecture AG 2

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Our journey 3 Models for our software Lightweight RAG Semantic Routing Observability LLM all-the-things? Structured Output / Tool Calling

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration LLM ALL-THE-THINGS? 4

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Language Models understand and generate semantically rich human language, transforming it into text or structured data for both humans and machines. ⚠ Non-deterministic: same input can lead to different outputs. Embedding Models capture semantic meaning by encoding human language into numerical vector representations, facilitating understanding, comparison, and retrieval for both humans and machines. ✅ Deterministic: same input always results in the same embedding. Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration 5 🫱 🫲 Semantic AI Generative AI

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration MODELS FOR OUR SOFTWARE 6

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§ Language & embedding models part of end-to-end architectures § E-M enable semantic search & comparison § L-M enable human language understanding via context § System prompt § Conversation history § User query Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration API-based model integrations 7

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Classical applications & UIs 8

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Language-enabled “UIs” – Talk-to-TT sample 9

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration 10 C4 system context diagram § Various tech stacks

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration PATTERN LIGHTWEIGHT RAG [RETRIEVAL-AUGMENTED GENERATION] 11

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration “Talk to your Data” Cleanup & Split Text Embedding Question Text Embedding Save Query Relevant Results Question Answ er w / sources LLM Embedding Model Embedding Model 💡 Indexing / Embedding Question Answering .md, .docx, .pdf etc. “Lorem ipsum…?” 💡 Vector DB 12

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§ Frameworks § LangChain § FastEmbed § Lightweight & efficient for generating text embeddings § Embedding model § jinaai/jina-embeddings-v2-base-de (local) § Vector store § PostgreSql (pgvector) vector store § LLM/SLM § Llama 3.3 70B on Cerebras (very fast) Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Technical implementation – Lightweight RAG 13

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration PATTERN STRUCTURED OUTPUT 14

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§ Integration is being standardized with MCP Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Structured data from unstructured input For calling APIs / tools 15 “OK, when is my colleague CW available for a two- days workshop?” System Prompt (with employee data) + Schema / Function Calling (for structured output) (Internal) Web API Availability business logic

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§ Frameworks § Pydantic § Instructor § Methodology § Schema with JSON Mode (not Function Calling) § SLM/LLM § Llama 3.3 70B on Cerebras (very fast) Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Technical implementation – Structured Output 16

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration PATTERN SEMANTIC GUARDING & ROUTING 17

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Semantics-based decisions for user interactions Guarding (e.g. prompt injection) Routing (selecting correct target) “Lorem ipsum…?” Target RAG Target API Call Target … something else … Fine-tuned Language Model Embedding Model 18

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Guarding § Frameworks § llm-guard § HuggingFace Transformers § Model § deepset/ deberta-v3-base-injection (local) Routing § Frameworks § semantic-routing § FastEmbed § Embedding model § intfloat/ multilingual-e5-large (local) § Vector store § PostgreSql (pgvector) Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Technical implementation – Semantic Guarding & Routing 19

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration PATTERN / SOLUTION OBSERVABILITY 20

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Things can get… overwhelming 21

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration End-to-end tracing 22

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§ Methodology § Open Telemetry (OTel) § Frameworks § OTel Python packages § LogFire SDK § Tools § LogFire, LangFuse § Any OTel-enabled system Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Technical implementation - Observability 23

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration END-TO-END SOLUTION ILLUSTRATED 24

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Semantic routing Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration "Talk to your systems" - for Availability queries 25 Web App / Watch App Speech-to-Text Internal Gateway (Python FastAPI) LLM / SLM Text-to-Speech Transcribe spoken text Transcribed text Check for experts availability with text Extract { experts, booking times } from text Structured JSON data (Function calling) Generate response with availability Response Response with experts availability 🔉 Speech-to-text for response Response audio Internal Business API (node.js – veeeery old) Query Availability API Availability When is CL…? CL will be…

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Pragmatische Gen-AI-Anwendungen Top Patterns & Lösungen für nahtlose LLM-Integration Recap: Top Semantic AI patterns & solutions – in end-to-end software engineering 26 Lightweight RAG Structured Output Semantic Guarding & Routing Insightful Observability 💡 Fun Fact: Large parts been built with AI-assisted Coding / Vibe Coding

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Thank you! Christian Weyer https://thinktecture.com/christian-weyer [email protected] 27