Nitesh Singh

@initeshsingh

Joined February 2025

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Nitesh Singh's blogs

Decoding AI Jargons with Chainiteshblogs.hashnode.dev1 post

A "Really Basic" Encoder and Decoderniteshblogs-a-really-basic-encoder-decoder.hashnode.dev1 post

Master Prompt Engineeringniteshblogs-mastering-prompt-engineering.hashnode.dev1 post

AI Agent (A Brain With A Body)niteshblogs-ai-agent.hashnode.dev1 post

Introduction to RAGniteshblogs-introduction-to-rag.hashnode.dev1 post

Articles Comments

Recently published

NSNitesh Singhniteshsingh-web.hashnode.devJul 18, 2025 · 4 min read

Basics of CSS

CSS allows you to create great-looking websites, but how does it work under the hood? This article explains what CSS is, its origin, ways to add CSS to HTML, the basic syntax, and its advantages and disadvantages. What is CSS? CSS (Cascading Style Sh...

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NSNitesh Singhniteshblogsgenai.hashnode.devMay 9, 2025 · 6 min read

Take a Step Back in RAG

Inspired by the fact that when humans face challenges, they often step back and do abstractions to arrive at high-level principles to guide the process, step-back prompting was proposed to ground reasoning on abstractions to reduce the chance of maki...

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NSNitesh Singhniteshblogs-reciprocal-rank-fusion.hashnode.devMay 6, 2025 · 5 min read

Reciprocal Rank Fusion

As discussed in the previous article, Multi-Query Retrieval, reciprocal rank fusion is an extension of multi-query Retrieval. Where a multi-query retrieval does a union of the relevant documents in which the relevance of a particular document cannot ...

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NSNitesh Singhniteshblogs-parallel-query-retrieval.hashnode.devMay 3, 2025 · 5 min read

Multi-Query Retrieval

It is difficult for the user to give the exact prompt to the LLM that the user is thinking. In this article, we will discuss another technique for improving the retrieval process of the LLM chain, ie, Multi-Query Retrieval. We will dive only into the...

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NSNitesh Singhniteshblogs-hyde-no-data-no-problem.hashnode.devMay 1, 2025 · 5 min read

HyDE (No Data No Problem)

RAG is an AI framework for retrieving facts from an external knowledge source to improve the response of an LLM model. It is not always possible for the user to ask the exact query the user is thinking about. Here comes the developer’s role in improv...

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Nitesh Singh

About

Available for

Nitesh Singh's blogs

Recently published

Basics of CSS

Take a Step Back in RAG

Reciprocal Rank Fusion

Multi-Query Retrieval

HyDE (No Data No Problem)

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Nitesh Singh

About

Available for

Nitesh Singh's blogs

Recently published

Basics of CSS

Take a Step Back in RAG

Reciprocal Rank Fusion

Multi-Query Retrieval

HyDE (No Data No Problem)