🐦 Twitter Post Details

Viewing enriched Twitter post

@jerryjliu0

I’m super excited for this feature release - LlamaParse Auto-Mode 💫 A huge issue with PDF parsing for any RAG/agent use case is that parsed documents either aren’t good quality, or results are good quality but super expensive (e.g. you screenshot every page and feed it to o1). A complex PDF like a research report or investment memo may have pages of mostly text interspersed with complex pages of tables/figures. Our latest release by @hexapode and @Binary_Brain allows you to process a document dynamically per-page, allowing you to pick the optimal parsing mode depending on the complexity of the page. This helps LlamaParse be the best parser for your LLM use cases on a price-performance basis. Blog: https://t.co/ckrem02UkQ Notebook: https://t.co/9vz37tFwtE

Media 1

📊 Media Metadata

{
  "links_checked": true,
  "checked_at": "2025-08-10T10:33:04.369020",
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1866247416019828939/media_0.jpg?",
      "filename": "media_0.jpg"
    }
  ],
  "reprocessed_at": "2025-08-12T15:27:27.360917",
  "reprocessed_reason": "missing_media_array"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2011-09-07T22:54:31.000Z",
    "default_profile_image": false,
    "description": "co-founder/CEO @llama_index\n\nCareers: https://t.co/EUnMNmbCtx\nEnterprise: https://t.co/Ht5jwxSrQB",
    "fast_followers_count": 0,
    "favourites_count": 7173,
    "followers_count": 54390,
    "friends_count": 1364,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 1136,
    "location": "",
    "media_count": 1063,
    "name": "Jerry Liu",
    "normal_followers_count": 54390,
    "possibly_sensitive": false,
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1283610285031460864/1Q4zYhtb_normal.jpg",
    "screen_name": "jerryjliu0",
    "statuses_count": 5321,
    "translator_type": "none",
    "url": "https://t.co/YiIfjVlzb6",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "369777416"
  },
  "id": "1866247416019828939",
  "conversation_id": "1866247416019828939",
  "full_text": "I’m super excited for this feature release - LlamaParse Auto-Mode 💫\n\nA huge issue with PDF parsing for any RAG/agent use case is that parsed documents either aren’t good quality, or results are good quality but super expensive (e.g. you screenshot every page and feed it to o1).\n\nA complex PDF like a research report or investment memo may have pages of mostly text interspersed with complex pages of tables/figures.\n\nOur latest release by @hexapode and @Binary_Brain  allows you to process a document dynamically per-page, allowing you to pick the optimal parsing mode depending on the complexity of the page.\n\nThis helps LlamaParse be the best parser for your LLM use cases on a price-performance basis.\n\nBlog: https://t.co/ckrem02UkQ\n\nNotebook: https://t.co/9vz37tFwtE",
  "reply_count": 2,
  "retweet_count": 19,
  "favorite_count": 127,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GeY-E2ZbAAANa6r.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/jerryjliu0/status/1866247416019828939",
  "created_at": "2024-12-09T22:23:51.000Z",
  "#sort_index": "1866247416019828939",
  "view_count": 19047,
  "quote_count": 1,
  "is_quote_tweet": true,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "quoted_tweet": {
    "user": {
      "created_at": "2022-12-18T00:52:44.000Z",
      "default_profile_image": false,
      "description": "Build LLM agents over your data\n\nGithub: https://t.co/HC19j7vMwc\nDocs: https://t.co/QInqg2zksh\nDiscord: https://t.co/3ktq3zzYII",
      "fast_followers_count": 0,
      "favourites_count": 1261,
      "followers_count": 82614,
      "friends_count": 26,
      "has_custom_timelines": false,
      "is_translator": false,
      "listed_count": 1366,
      "location": "",
      "media_count": 1375,
      "name": "LlamaIndex 🦙",
      "normal_followers_count": 82614,
      "possibly_sensitive": false,
      "profile_banner_url": "https://pbs.twimg.com/profile_banners/1604278358296055808/1696908553",
      "profile_image_url_https": "https://pbs.twimg.com/profile_images/1623505166996742144/n-PNQGgd_normal.jpg",
      "screen_name": "llama_index",
      "statuses_count": 2997,
      "translator_type": "none",
      "url": "https://t.co/epzefqQqZx",
      "verified": true,
      "withheld_in_countries": [],
      "id_str": "1604278358296055808"
    },
    "id": "1866214925418500119",
    "conversation_id": "1866214925418500119",
    "full_text": "Get all the benefits of LlamaParse Premium mode while optimizing your costs with our new Auto Mode!\n\nAuto Mode parses your document in our standard, cheaper mode but upgrades selectively to our more accurate Premium mode on a variety of triggers that you control, including:\n➡️ On images\n➡️ On tables\n➡️ Specific strings\n➡️ Even regular expressions!\n\nIt's a great way to get the very best results out of LlamaParse. Learn more here:\nhttps://t.co/j3JRp4l9nI\n\nOr check out the example notebook showing all the features:\nhttps://t.co/ZrBpAW1dr2",
    "reply_count": 1,
    "retweet_count": 3,
    "favorite_count": 28,
    "hashtags": [],
    "symbols": [],
    "user_mentions": [],
    "urls": [],
    "media": [
      {
        "media_url": "https://pbs.twimg.com/media/GeYgAuTbMAA5NZa.jpg",
        "type": "photo"
      }
    ],
    "url": "https://twitter.com/llama_index/status/1866214925418500119",
    "created_at": "2024-12-09T20:14:45.000Z",
    "#sort_index": "1866247416019829000",
    "view_count": 23927,
    "quote_count": 1,
    "is_quote_tweet": false,
    "is_retweet": false,
    "is_pinned": false,
    "is_truncated": true
  },
  "startUrl": "https://x.com/jerryjliu0/status/1866247416019828939"
}