Jnachi Certified Enterprise RAG Architect & Vector Specialist
Validates industry-standard engineering mastery in architecting production-grade Retrieval-Augmented Generation systems. Assesses vector database indexing (HNSW/IVFFlat), hierarchical and semantic chunking strategies, reciprocal rank fusion (RRF), Cross-Encoder rerankers, Knowledge Graph RAG, and continuous RAG evaluation using RAGAS/TruLens.
Jnachi Certified Enterprise RAG Architect & Vector Specialist
Validates deep expertise in architecting, optimizing, and evaluating production-grade Retrieval-Augmented Generation systems with hybrid search, semantic chunking, and knowledge graphs.
Exam Competency Matrix & Domain Breakdown
Select any domain below to inspect tested skills, real-world scenarios, and preparation materials.
Embedding Models, Vector Indexes & Chunking Strategies
Vector mathematics, embedding dimensionality, HNSW vs IVFFlat indexing, distance metrics, and advanced document chunking algorithms.
HNSW graph navigation, IVFFlat inverted file lists, cosine similarity vs inner product vs Euclidean distance, and quantization techniques (PQ/SQ).
Semantic boundary chunking, parent-child document relationships, sliding context windows, and table-aware document parsing.
Portal Registration Required Before Exam
Your full name, location, and organization are verified and printed directly on your official diploma.
Exam Objectives & Tested Competencies
Vector Indexing (HNSW, IVFFlat) & Semantic Chunking
Evaluated in scenario-based proctored questions.
Hybrid Search (Dense + BM25) & Reciprocal Rank Fusion (RRF)
Evaluated in scenario-based proctored questions.
Cross-Encoder Rerankers & Graph RAG Knowledge Graphs
Evaluated in scenario-based proctored questions.
RAG Triad & Automated Metric Evaluation (RAGAS / TruLens)
Evaluated in scenario-based proctored questions.
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