---
title: "Aman Jain (@aman454) | Hashnode"
description: "LLM enthusiast. Read the latest articles by Aman Jain on Hashnode."
url: "https://hashnode.com/@aman454"
---

@aman454

# Aman Jain

@aman454 · San Francisco, USA · Joined July 2026

LLM enthusiast

### [Measuring RAG End to End: Retrieval, Evidence, and Answer Quality](https://curious-pm.hashnode.dev/measuring-rag-end-to-end-retrieval-evidence-and-answer-quality?utm_source=hashnode&utm_medium=feed)

A practical framework for evaluating retrieval, evidence alignment, Corrective RAG, and LLM-generated answers

9 min read · [curious-pm.hashnode.dev](https://curious-pm.hashnode.dev/measuring-rag-end-to-end-retrieval-evidence-and-answer-quality?utm_source=hashnode&utm_medium=feed)

[Sep 27](https://hashnode.com/posts/measuring-rag-end-to-end-retrieval-evidence-and-answer-quality/6ab926d1e2acbafd61745423)

### [Beyond Basic Retrieval: Improving Precision and Context in RAG](https://curious-pm.hashnode.dev/beyond-basic-retrieval-improving-precision-and-context-in-rag?utm_source=hashnode&utm_medium=feed)

Exploring small-to-large, sentence-window, summary-to-detail retrieval, and LLM reranking

9 min read · [curious-pm.hashnode.dev](https://curious-pm.hashnode.dev/beyond-basic-retrieval-improving-precision-and-context-in-rag?utm_source=hashnode&utm_medium=feed)

[Aug 2](https://hashnode.com/posts/beyond-basic-retrieval-improving-precision-and-context-in-rag/6a6fb769d4fb6548d2ec1688)

### [How RAG Finds the Right Evidence: Dense, Sparse, and Hybrid Retrieval](https://curious-pm.hashnode.dev/how-rag-finds-the-right-evidence-dense-sparse-and-hybrid-retrieval?utm_source=hashnode&utm_medium=feed)

Comparing semantic search, BM25, Reciprocal Rank Fusion, evidence grading, and Corrective RAG

10 min read · [curious-pm.hashnode.dev](https://curious-pm.hashnode.dev/how-rag-finds-the-right-evidence-dense-sparse-and-hybrid-retrieval?utm_source=hashnode&utm_medium=feed)

[Aug 2](https://hashnode.com/posts/how-rag-finds-the-right-evidence-dense-sparse-and-hybrid-retrieval/6a6fb32f63bf2279895b518f)

### [RAG From First Principles: How Documents Become Retrievable Knowledge](https://curious-pm.hashnode.dev/rag-from-first-principles-how-documents-become-retrievable-knowledge?utm_source=hashnode&utm_medium=feed)

Understanding the complete RAG pipeline through document loading, metadata preservation, and chunking experiments

7 min read · [curious-pm.hashnode.dev](https://curious-pm.hashnode.dev/rag-from-first-principles-how-documents-become-retrievable-knowledge?utm_source=hashnode&utm_medium=feed)

[Aug 2](https://hashnode.com/posts/rag-from-first-principles-how-documents-become-retrievable-knowledge/6a6fa9aa10dbe15b6f15fd01)

### [Temperature, Top-k, and Top-p: How Decoding Changes What a GPT Model Says](https://curious-pm.hashnode.dev/temperature-top-k-and-top-p-how-decoding-changes-what-a-gpt-model-says?utm_source=hashnode&utm_medium=feed)

Experiments with temperature, greedy decoding, top-k, and top-p to understand the trade-offs between predictability, repetition, coherence, and creativity.

10 min read · [curious-pm.hashnode.dev](https://curious-pm.hashnode.dev/temperature-top-k-and-top-p-how-decoding-changes-what-a-gpt-model-says?utm_source=hashnode&utm_medium=feed)

[Jul 22](https://hashnode.com/posts/temperature-top-k-and-top-p-how-decoding-changes-what-a-gpt-model-says/6a6018abd157dc43a1a76a27)