---
title: "Discussion on \"I Built a RAG System That Actually Works — Hybrid Search, Reranking, and the Decisions That Mattered\" | Hashnode"
description: "Discussion on \"I Built a RAG System That Actually Works — Hybrid Search, Reranking, and the Decisions That Mattered\". How I built an advanced RAG pipeline with hybrid search, reranking, and semantic chunking — the architectural decisions and code that made it work."
url: "https://hashnode.com/posts/rag-hybrid-search-reranking-decisions/6a1c97ff072f333f8c51be1a"
---

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

Discussion

# [I Built a RAG System That Actually Works — Hybrid Search, Reranking, and the Decisions That Mattered](https://pragmatic-builder.hashnode.dev/rag-hybrid-search-reranking-decisions?utm_source=hashnode&utm_medium=feed)

How I built an advanced RAG pipeline with hybrid search, reranking, and semantic chunking — the architectural decisions and code that made it work.

May 31 · 8 min read · pragmatic-builder.hashnode.dev  
Read the article

-   [#rag](https://hashnode.com/tag/rag)
-   [#llamaindex](https://hashnode.com/tag/llamaindex)
-   [#amazon-bedrock](https://hashnode.com/tag/amazon-bedrock)
-   [#architecture-decisions](https://hashnode.com/tag/architecture-decisions)
-   [#architecture](https://hashnode.com/tag/architecture)
-   [#vector-database](https://hashnode.com/tag/vector-database)
-   [#reranking](https://hashnode.com/tag/reranking)

## Written by

[Pragnesh Shah](https://hashnode.com/@prag-matic-builder)

@prag-matic-builder · London, UK

  
[View profile](https://hashnode.com/@prag-matic-builder)

Bridging Enterprise Legacy and GenAI-Native Futures | Speaker and Strategist

On-screen: Decoding the 🤖 AI-native future for 🛠️builders & strategists 🧠 Off-screen: Forest walks 🌲 · Morning meditation 🧘 · Family adventures 👨‍👩‍👧

## Responses

Markdown supported · ⌘↵ to post

No responses yet.