Extract Plain Text from Medium Posts for RAG and Search Indexes

<h1> RAG Systems in Production: Building Enterprise Knowledge Search </h1> <h2> Introduction </h2> <p>Retrieval-Augmented Generation (RAG) has revolutionized how enterprises build

<h1> Moving Beyond Simple Vector Search: Why Hybrid Search is Essential for RAG </h1> <p>As LLMs continue to dominate the landscape, Retrieval-Augmented Generation (RAG) has

<!-- SC_OFF --><div class="md"><p>We spent the last year building a code indexing system and tried pretty much every retrieval approach along the way. Sharing what actually worked

<p>I publish a blog post. Then I spend the next two hours:</p> <ul> <li>Rewriting it as a Twitter thread (5 tweets, each under 280 chars)</li> <li>Adapting it to LinkedIn tone

<p>Last week I was stitching together Serper for web + Tavily for synthesis + a YouTube transcript API just to answer one chat question. Every category was a new API contract, a

<p>Package #5 in my small open-source series, and the first one with a direct RAG/AI angle.</p> <p>Every RAG pipeline starts the same way: take a long document, split it into

<p>You spent months tuning your <code>&lt;title&gt;</code> tags, chasing backlinks, submitting sitemaps to Google Search Console. Your rankings are solid. Then you ask ChatGPT

<p>If you've ever tried to pull data from Medium programmatically, you already know the pain.<br /> Medium retired their official API years ago. What's left is a graveyard of