Extract Plain Text from Medium Posts for RAG and Search Indexes
The article discusses a method for extracting plain text from Medium posts for use in retrieval-augmented generation (RAG) and search indexes. It outlines a process for chunking article content while omitting navigation and script elements. The approach emphasizes compliance with Medium's Terms of Service and the importance of respecting author rights.
- ▪The extraction process focuses on obtaining clean article content for embeddings and summarization.
- ▪A specific API call can retrieve the plain text of an article, along with its title and metadata.
- ▪The article highlights the need to respect Medium's Terms of Service when indexing content.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3958969) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Sebastian Casvean Posted on May 30 Extract Plain Text from Medium Posts for RAG and Search Indexes #ai #rag #llm #api Chunk clean article content for embeddings, summarization, and full-text search—skip nav, clap bars, and scripts. Extract Plain Text from Medium Posts for RAG and Search Indexes HTML embeds are for humans; plain text is for chunking, embeddings, and summarization. One call should return body text without nav, clap bars, or script tags.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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