Retrieval-Augmented Generation
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Summary of the Retrieval-Augmented Generation
This Retrieval Technique of RAG assessment test is created by TestnHire’s subject matter experts, with a sole purpose of evaluating candidate’s proficiency of working with RAG pipelines, understanding of the retrieval layer that powers knowledge grounded responses in large language models9LLMs). This test prioritizes real-world problem solving around data indexing, document chunking and embedding based retrieval.
Covered Skills
Retrieval-augmented generation (RAG) architecture
Document indexing, chunking, and embedding creation
Query rewriting, reranking & retrieval scoring
Integrating retrieval into LLM workflows
Handling hallucination & improving answer accuracy
Performance metrics for retrieval layers (precision, recall, latency)
About the Retrieval-Augmented Generation Test
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Skill and Concepts Covered in TestnHire's Retrieval-Augmented Generation Test Assessment test
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