🐦 Twitter Post Details

Viewing enriched Twitter post

@llama_index

Learn how to build an intelligent legal document navigation system using multi-graph, multi-agent recursive retrieval! 🧠📄 This article demonstrates: 🔍 Creating document hierarchy and definition graphs 🤖 Implementing a multi-agent workflow for smart traversal 📊 Leveraging https://t.co/wJqEPNOeu6, https://t.co/vJSQKOXBZO and LlamaIndex Key features: • Recursive retrieval of clauses and footnotes • Intelligent navigation through document hierarchy • Integration of legal definitions for context Read more: https://t.co/HzcnkZ7H4Y Or check out the repo: https://t.co/ebmXJSAuw6

View on Twitter

📊 Media Metadata

{
  "data": [
    {
      "id": "",
      "type": "photo",
      "url": null,
      "media_url": "https://pbs.twimg.com/media/Gd5kdAjbkAEj9qN.jpg",
      "media_url_https": null,
      "display_url": null,
      "expanded_url": null
    }
  ],
  "score": 1.0,
  "scored_at": "2025-08-09T13:46:07.555784",
  "import_source": "network_archive_import",
  "links_checked": true,
  "checked_at": "2025-08-10T10:33:00.606308",
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1864037791019188331/media_0.jpg?",
      "filename": "media_0.jpg"
    }
  ],
  "reprocessed_at": "2025-08-12T15:27:06.753061",
  "reprocessed_reason": "missing_media_array"
}

🔧 Raw API Response

{
  "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": "1864037791019188331",
  "conversation_id": "1864037791019188331",
  "full_text": "Learn how to build an intelligent legal document navigation system using multi-graph, multi-agent recursive retrieval! 🧠📄\n\nThis article demonstrates:\n🔍 Creating document hierarchy and definition graphs\n🤖 Implementing a multi-agent workflow for smart traversal\n📊 Leveraging https://t.co/wJqEPNOeu6, https://t.co/vJSQKOXBZO and LlamaIndex\n\nKey features:\n• Recursive retrieval of clauses and footnotes\n• Intelligent navigation through document hierarchy\n• Integration of legal definitions for context\n\nRead more:\nhttps://t.co/HzcnkZ7H4Y\n\nOr check out the repo: https://t.co/ebmXJSAuw6",
  "reply_count": 1,
  "retweet_count": 47,
  "favorite_count": 190,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/Gd5kdAjbkAEj9qN.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/llama_index/status/1864037791019188331",
  "created_at": "2024-12-03T20:03:36.000Z",
  "#sort_index": "1864037791019188331",
  "view_count": 11997,
  "quote_count": 0,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "startUrl": "https://x.com/llama_index/status/1864037791019188331"
}