# Apify shows how to ground LlamaIndex RAG apps in fresh web data

> Apify published a tutorial on scraping websites into LlamaIndex, updating indexes without re-embedding unchanged pages, and preventing partial crawls from deleting existing pages.

- Canonical: https://extractfeed.io/story/apify-shows-how-to-ground-llamaindex-rag-apps-in-fresh-web-d-929c9b4/
- JSON: https://extractfeed.io/api/v1/stories/apify-shows-how-to-ground-llamaindex-rag-apps-in-fresh-web-d-929c9b4.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-02T01:02:42.522023+00:00 · Updated: 2026-10-02T01:02:42.522023+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Apify: Apify published a tutorial on scraping websites into LlamaIndex, updating indexes without re-embedding unchanged pages, and preventing partial crawls from deleting existing pages.

## Why it matters
This tutorial addresses a common pain point in RAG pipelines: keeping indexes fresh without costly full re-embeddings. By showing how to avoid deleting pages from partial crawls, Apify highlights a practical edge for developers building production retrieval systems that depend on live web data.

## Sources
- Primary source · Apify · 2026-10-01 — [How to ground a LlamaIndex RAG app in fresh web data](https://blog.apify.com/llamaindex-rag-web-data/)

## Watch next
Will Apify integrate this incremental indexing pattern into its official SDK or templates?

Topics: Apify, LlamaIndex, rag, llamaindex, web-scraping, index-update, tutorial

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