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Developer details RAG knowledge base creation from Substack newsletters

A developer has outlined a method for building a retrieval-augmented generation (RAG) knowledge base from Substack newsletters. The process involves listing posts via the Substack API, fetching the body content, and then converting the HTML into clean Markdown using the Turndown service. This clean Markdown is then chunked for use in AI models, with a strategy for keeping the knowledge base updated by tracking seen posts. AI

IMPACT Enables creation of custom AI knowledge bases from curated newsletter content.

RANK_REASON Developer provides a technical guide for building a specific AI application.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer details RAG knowledge base creation from Substack newsletters

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24 / 100
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Newsworthiness bucket
Tool
Developer provides a technical guide for building a specific AI application.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Max Prozapas ·

    Build a RAG knowledge base from Substack newsletters (clean Markdown, no paywall tricks)

    <p>Newsletters are some of the best expert content on the internet — and a great source for a RAG chatbot or an AI<br /> research agent. The problem: Substack's HTML is full of "Subscribe now" buttons, share widgets and image wrappers<br /> that pollute your embeddings. Here's a …