GKgautam kumarinai-embeddings.hashnode.dev·Sep 10, 2025 · 3 min readA Deep Dive into 6 Types of EmbeddingsWhen most people talk about embeddings, they mean dense vectors. But the world of embeddings is much richer. Depending on your use case, you might want to explore sparse, quantized, binary, multi-vector, or even variable-dimension embeddings. Each ty...00
GKgautam kumarinhirenom.hashnode.dev·Jun 20, 2025 · 2 min readHirenom: Your AI Partner for Mock Interviews & ResumesAce Your Dream Job with Hirenom: AI-Powered Mock Interviews, Resume Builder & LinkedIn Optimization Are you preparing for job interviews but not sure where to start? Struggling with resume writing or optimizing your LinkedIn profile? Hirenom is your ...00
GKgautam kumarinadvance-rag.hashnode.dev·Apr 23, 2025 · 4 min readLearn the implementation of Hypothetical Document Embeddings (HyDE) in RAG applicationIntroduction HyDE means instead of searching based only on your question, the AI first imagines a fake answer, then looks for real documents that are similar to that fake answer. This helps find better results even if your question doesn't match the ...00
GKgautam kumarinadvance-rag.hashnode.dev·Apr 23, 2025 · 4 min readUnderstanding Chain of Thought (CoT) Prompting: Teaching AI to Think Step-by-StepIntroduction COT stands for Chain of Thought. It means Chain-of-Thought (COT) prompting is a method where the AI generates intermediate reasoning steps before reaching the final answer. COT = Explain steps → Then Final Answer. "Clear thinking is lik...00
GKgautam kumarinadvance-rag.hashnode.dev·Apr 23, 2025 · 4 min readStep Back Prompting in RAG: How Thinking Bigger Leads to Smarter AI AnswersIntroduction Step-Back Prompting is when you ask AI to first think at a higher level before answering your actual question. Instead of jumping directly into solving the problem, you tell it to "step back" and understand the bigger picture first. This...00
