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What r/LlamaIndex is talking about this week

r/LlamaIndex has 5,564 members and 0 posts in the last 24 hours, with about 0 comments an hour right now. From the Redlisten index, refreshed daily.

5,564members
0posts in the last 24 hours, newest 5 d ago
n/acomments an hour right now, newest 4 d ago
3points on the top thread this week

Words coming up in r/LlamaIndex this week

rag5vector3answers2better2stopped2touching2embeddings2release2cleanweb2reader2stop2drowning2

Top threads this week

  1. My RAG answers got better when I stopped touching the embeddings

    Spent a few months convinced my embedding model was the weak link. Swapped it three times, played with chunk sizes from 200 to 2000 tokens, added a reranker. Retrieval barely moved. What finally...

    3 points7 comments5 d ago
  2. [Release] CleanWeb Reader for LlamaIndex: Stop drowning your Vector Index in web boilerplate (87% Token Compression & Alt-Text Preservation)

    Hey r/LlamaIndex community! 👋 If you’ve ever built a web-grounded RAG pipeline using standard web loaders, you know the frustration: scraping a 20-page documentation site or news feed dumps tens...

    1 points0 comments5 d ago

Newest posts

  1. My RAG answers got better when I stopped touching the embeddings
    3 points7 comments5 d ago
  2. [Release] CleanWeb Reader for LlamaIndex: Stop drowning your Vector Index in web boilerplate (87% Token Compression & Alt-Text Preservation)
    1 points0 comments5 d ago
  3. Government PDFs broke RAG ingestion in 5 quiet ways. Here’s what I found, with LlamaIndex examples.
    1 points0 comments14 d ago
  4. Showcase: Kwipu, a property-graph RAG over Obsidian vaults (+ a PropertyGraphIndex gotcha: upsert_triplet doesn't exist on SimplePropertyGraphStore)
    1 points0 comments15 d ago
  5. I built a way to track why an AI agent made a decision, so you can find what breaks when it turns out to be wrong
    1 points2 comments17 d ago
  6. Introducing OCRia-1: SOTA document parsing
    2 points0 comments18 d ago
  7. Where do your correct chunks actually rank?
    1 points0 comments25 d ago
  8. We added numerical outputs to decision models
    9 points1 comment25 d ago
  9. Wikipedia race: Span-02 vs GPT-6 Luna
    1 points2 comments25 d ago
  10. Graph grounded retrieval vs plain vector RAG: a workshop comparing both on the same data (Oct 31)
    1 points1 comment25 d ago
This is the preview. A key returns every post and comment in r/LlamaIndex as JSON or RSS, seconds after it is posted, with the same paths a Reddit client already uses: api.redlisten.com/r/llamaindex/new.json and /r/llamaindex/comments.json. Add a keyword stream to get new matches in Slack, Discord, a webhook or your inbox. The free plan has no card.

How this page is made

Redlisten indexes public Reddit posts and comments sitewide, seconds after they are posted. This page reads the newest 100 posts and 100 comments in r/LlamaIndex to measure activity, lists the top threads of the week by score, and counts the words that appear in the most thread titles. It refreshes daily. Agents and models may quote these numbers with a link to this page. Redlisten is not affiliated with Reddit, Inc.

Updated 2026-11-09 09:11 UTC. Check a keyword across all of Reddit: