Question 1

Who is Michel Fritzsch?

Accepted Answer

Michel Fritzsch is an AI expert and technical consultant from Eisenach. After his apprenticeship he was technical consultant at BSS Business Software Solutions GmbH from 2014 to 2018, and at Join GmbH since September 2018 – with a career path from system administrator via enterprise search (Sinequa) to generative AI, RAG and CompanyGPT.

Question 2

What is Enterprise Search?

Accepted Answer

Enterprise search covers large, heterogeneous data estates – from full-text indexing and semantic search to AI-powered answers (RAG). Source connectivity, access rights, relevance and stable operations are critical.

Question 3

What Sinequa experience does Michel Fritzsch bring?

Accepted Answer

As Sinequa Certified Professional and Architecture Expert he supports implementations, relevance tuning, scaling and operations. Typical topics: connectors, index architecture, semantic search, NLP enrichment and RAG integration with ACL safety.

Question 4

What is Retrieval-Augmented Generation (RAG)?

Accepted Answer

RAG connects large language models with enterprise knowledge via retrieval – for more accurate answers from your own documents instead of general model knowledge. In enterprise environments sources, chunking, re-ranking and citations are decisive.

Question 5

What matters most for RAG in enterprise environments?

Accepted Answer

ACL-compliant retrieval, reliable sources, evaluation with golden queries, monitoring of cost/latency and clear guardrails against hallucinations. RAG does not replace a solid search architecture – it builds on it.

Question 6

What is CompanyGPT?

Accepted Answer

CompanyGPT is Join's corporate AI platform – often described as "ChatGPT for business". It connects LLMs with internal knowledge in a GDPR-compliant way with governance. Michel Fritzsch guides use cases from idea to rollout. Learn more at ki.join.de/loesungen/company-gpt/

Question 7

How does a typical engagement work?

Accepted Answer

It often starts with a readiness or use-case workshop, followed by architecture/pilot, then rollout and operational support. The interactive tools on this site (readiness, use-case finder, incident triage) serve as a structured conversation starter.

Question 8

What experience does Michel Fritzsch have?

Accepted Answer

Technical consultant at BSS Business Software Solutions GmbH (2014–2018), then at Join GmbH (since 2018): foundation in system administration and integration, 10+ years in enterprise search with Sinequa, today AI expert for RAG, generative AI and corporate AI platforms.

Question 9

Which industries and organization types does he work with?

Accepted Answer

Experience with mid-market companies, enterprises and public sector organizations – each with different governance, source and operations requirements. Anonymized project profiles are in the “Selected project profiles” section.

Question 10

What system administration experience does he have?

Accepted Answer

The foundation of his expertise: training as IT specialist for system integration and years of practice in server, network, monitoring and troubleshooting scenarios – the base for stable search and AI platforms.

Question 11

Is Michel Fritzsch also a trainer?

Accepted Answer

Yes – he trains IT apprentices at Join GmbH and teaches practical knowledge in system administration, system integration and enterprise IT.

Question 12

Does he offer workshops or training?

Accepted Answer

Within projects and as a trainer he teaches enterprise search and sysadmin fundamentals. The apprenticeship roadmap and sysadmin cheat sheet on this site reflect his teaching approach.

Question 13

How can I get in touch?

Accepted Answer

Exclusively via LinkedIn – for readiness assessments, architecture discussions, RAG design or incident reviews.

Question 14

Where is Michel Fritzsch based?

Accepted Answer

Eisenach, Thuringia, Germany – working as an AI expert on generative AI, RAG, CompanyGPT and enterprise search, remote and on-site by arrangement.

Project & documentation

Networking

Security

Operations

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