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AArjavTripathiinsearchnotes.hashnode.dev·1d ago · 3 min read

Reverse Indexing in More Depth

In the previous article we talked about an indexing technique (which I like to call reverse indexing). Here, we use a Hashmap with a word as the key, and a list of pages as the value. This is a lot be

Mmofuteqinblog.mofuteq.space·6d ago · 4 min read

Your Users Ask One Question, Your Retriever Searches Another

A user types a question into your RAG system. Before anything is retrieved, a decision gets made: what string do we actually search with? In a lot of systems, nobody made that decision on purpose. The

WEWeb Equipeinwebequipe.hashnode.dev·6d ago · 6 min read

Text-Based PDFs vs Scanned PDFs: Why Search Works Differently for Each

PDF search sounds simple at first. You upload a PDF, extract the content, and make it searchable. But once you start working with real documents, you quickly realize that not every PDF behaves the sam

PDPriyanka Dinvectorverse.hashnode.dev·6d ago · 6 min read

From Keywords to Meaning: How Vector Search Changed Search Forever

If you've ever used Google, searched your company wiki, or looked for a file on your computer, you've interacted with keyword search. For decades, keyword search powered the internet. And for decades,

PDPriyanka Dinvectorverse.hashnode.dev·Jun 19 · 5 min read

How vector databases find the right information without searching everything?

If you've ever wondered how AI applications can search through millions or even billions of vectors in a fraction of a second, you're not alone. At Endee, we spend a lot of time thinking about retriev

AJAlen Joyinpragmaticstack.in·Jun 18 · 20 min read

Designing AI Search: The Answer Layer and the Iceberg Beneath It

🗓️ Last updated: June 2026 For two decades, the system design answer for "how would you build search" was stable: crawler, inverted index, distributed retrieval, ranking, caching, frontend. The whit

SHSanskriti Harmukhinvultr.hashnode.dev·Jun 16 · 3 min read

Deploying Jina Serve Open-Source Neural Search and AI Serving Framework on Ubuntu 24.04

Jina Serve is an open-source framework for building neural search and multimodal AI applications, with a cloud-native runtime that handles dynamic batching, async streaming, and microservice orchestra

TCTencent Cloud -Cloud Log Serviceintencentcloud-cls.hashnode.dev·Jun 15 · 7 min read

Why Time-Ordered Indexes Make Log Search Faster Than Plain Lucene

Log data is time-series data with text-search expectations. Every record has a timestamp, and almost every operational query asks for a time range. Plain Lucene is excellent at text search, but an eng

SHSanskriti Harmukhinvultr.hashnode.dev·Jun 2 · 2 min read

Deploying Elasticsearch Search and Analytics Engine on Ubuntu 24.04

Elasticsearch is an open-source distributed search and analytics engine built on Apache Lucene, used for full-text search, structured queries, and log analytics. This guide deploys a single-node Elast

PKPrashant Koiralainblog.prashantkoirala.info.np·May 31 · 22 min read

Vector databases are not always the answer

Vector databases became one of the default answers to almost every AI product question. Building a chatbot over your documents? Use a vector database. Building semantic search? Use a vector database.