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RAG & Knowledge Systems
The RAG & Knowledge Systems pathway brings together 6 knowledge assessments within AI & Agentic Systems. Compare subjects such as RAG Engineer; AI Search Engineer; Knowledge Systems Designer; Vector Search Specialist, review their specific coverage and choose the discipline that best matches your knowledge.
Get a certificateRead the scope, evidence format and assessment criteria before you begin.
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Choose your discipline
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RAG Engineer
Indexing; retrieval; reranking; source grounding; evaluation
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AI Search Engineer
Hybrid search; query understanding; relevance; metrics
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Knowledge Systems Designer
Knowledge structure; data origin; updating; access
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Vector Search Specialist
Embeddings; indexes; filtering; quality retrieval
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Knowledge Graph Practitioner
Entity models; relationships; retrieval; graph quality
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Document AI Specialist
Data extraction; markup; verification; document flow
CertMetrica
A conversation with a purpose
- Choose your discipline
Read the scope, evidence format and assessment criteria before you begin.
- Explain your thinking
50 required tasks: 49 questions and a final problem-solving essay of 3–10 sentences.
- Understand your result
To pass, at least 40 of the 50 answers must be accepted as correct (80%).
Your certificate
A certificate with context
The certificate identifies the discipline and the assessment version. It confirms successful testing, without conferring a professional license, academic degree or permission to practice.
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