🐦 Twitter Post Details

Viewing enriched Twitter post

@omarsar0

ChunkRAG is a framework to enhance RAG systems by evaluating and filtering retrieved information at the chunk level. Uses semantic chunking to divide documents into coherent sections and then uses LLM-based relevance scoring to assess the chunk’s alignment with the user’s query. https://t.co/esWXUGWKkd

Media 1

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1850742796673744954/media_0.jpg",
      "type": "photo",
      "original_url": "https://pbs.twimg.com/media/Ga8ow0mbIAEv3c9.jpg",
      "recovered_from_supabase": true
    }
  ],
  "conversion_date": "2025-08-13T00:28:31.607882",
  "format_converted": true,
  "original_structure": "had_media_only"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2015-09-04T12:59:26.000Z",
    "default_profile_image": false,
    "description": "Building with AI Agents @dair_ai • Prev: Meta AI, Elastic, Galactica LLM, PhD • I also teach how to build with LLMs, RAG & AI Agents ⬇️",
    "fast_followers_count": 0,
    "favourites_count": 27933,
    "followers_count": 216711,
    "friends_count": 532,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 3688,
    "location": "",
    "media_count": 2656,
    "name": "elvis",
    "normal_followers_count": 216711,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
    "screen_name": "omarsar0",
    "statuses_count": 12439,
    "translator_type": "regular",
    "url": "https://t.co/JBU5beHQNs",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "3448284313"
  },
  "id": "1850742796673744954",
  "conversation_id": "1850742796673744954",
  "full_text": "ChunkRAG is a framework to enhance RAG systems by evaluating and filtering retrieved information at the chunk level.\n\nUses semantic chunking to divide documents into coherent sections and then uses LLM-based relevance scoring to assess the chunk’s alignment with the user’s query. https://t.co/esWXUGWKkd",
  "reply_count": 11,
  "retweet_count": 63,
  "favorite_count": 336,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/Ga8ow0mbIAEv3c9.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/omarsar0/status/1850742796673744954",
  "created_at": "2024-10-28T03:34:02.000Z",
  "#sort_index": "1850742796673744954",
  "view_count": 34629,
  "quote_count": 2,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://x.com/omarsar0/status/1850742796673744954"
}