---
title: "Discussion on \"How RAG Finds the Right Evidence: Dense, Sparse, and Hybrid Retrieval\" | Hashnode"
description: "Discussion on \"How RAG Finds the Right Evidence: Dense, Sparse, and Hybrid Retrieval\". Comparing semantic search, BM25, Reciprocal Rank Fusion, evidence grading, and Corrective RAG"
url: "https://hashnode.com/posts/how-rag-finds-the-right-evidence-dense-sparse-and-hybrid-retrieval/6a6fb32f63bf2279895b518f"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [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

Aug 2 · 10 min read · curious-pm.hashnode.dev  
Read the article

-   [#retrieval-augmented-generation](https://hashnode.com/tag/retrieval-augmented-generation)
-   [#bm25](https://hashnode.com/tag/bm25)
-   [#semantic-search](https://hashnode.com/tag/semantic-search)
-   [#generative-ai](https://hashnode.com/tag/generative-ai)

## Written by

[Aman Jain](https://hashnode.com/@aman454)

@aman454 · San Francisco, USA

  
[View profile](https://hashnode.com/@aman454)

LLM enthusiast

Product manager learning to build AI from the inside out — from LLM architecture to product applications.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.