Instrument

Retrieval-Augmented Generation (RAG)

Type: Semantic Retrieval & Knowledge Distillation | Ecosystem: Vector Embeddings, Hybrid Search, Context Reranking & Model Distillation

RAG architecture, vector search retrieval, hybrid keyword/semantic search, context window optimization, and knowledge distillation for domain-adapted LLMs.

RAGKnowledge DistillationVector SearchEmbeddingsHybrid SearchCosine Similarity

Designing and deploying production Retrieval-Augmented Generation (RAG) pipelines and knowledge distillation techniques. Specializing in indexing high-volume unstructured corpora, embedding generation, dense vector retrieval, context compression, explainable relevance scoring, and distilling reasoning from large teacher models into cost-effective student models for fast domain inference.

Where this has actually been used

Projects

ResumeHR — Agentic Candidate Screening & Knowledge Distillation

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