🐦 Twitter Post Details

Viewing enriched Twitter post

@llama_index

Stack for Advanced RAG over Complex PDFs 📚: LlamaParse + @AstraDB (@DataStax) Excited to share a collection of cookbooks showing you how to 1) parse a complex PDF with LlamaParse, 2) index it into a vector database (Astra), and 3) run @llama_index recursive retrieval to answer any question over semi-structured data. Cookbook 1 (basic RAG): https://t.co/fiSCWp86KI Cookbook 2 (advanced RAG): https://t.co/3FtZMllOr5 Thanks @ericrhare for this day 1 integration. LlamaIndex + LlamaParse is part of the DataStax press release: https://t.co/vj2jTgw6Dd

🔧 Raw API Response

{
  "user": {
    "created_at": "2022-12-18T00:52:44.000Z",
    "default_profile_image": false,
    "description": "The way to connect LLMs to your data.\n\nGithub: https://t.co/HC19j7vMwc\nDocs: https://t.co/QInqg2zksh\nDiscord: https://t.co/3ktq3zzYII\nhttps://t.co/UXeIlwvvbA",
    "fast_followers_count": 0,
    "favourites_count": 1003,
    "followers_count": 55362,
    "friends_count": 21,
    "has_custom_timelines": false,
    "is_translator": false,
    "listed_count": 998,
    "location": "",
    "media_count": 790,
    "name": "LlamaIndex 🦙",
    "normal_followers_count": 55362,
    "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": 2070,
    "translator_type": "none",
    "url": "https://t.co/epzefqQqZx",
    "verified": true,
    "withheld_in_countries": [],
    "id_str": "1604278358296055808"
  },
  "id": "1760097891551707237",
  "conversation_id": "1760097891551707237",
  "full_text": "Stack for Advanced RAG over Complex PDFs 📚: LlamaParse + @AstraDB (@DataStax)\n\nExcited to share a collection of cookbooks showing you how to 1) parse a complex PDF with LlamaParse, 2) index it into a vector database (Astra), and 3) run @llama_index recursive retrieval to answer any question over semi-structured data.\n\nCookbook 1 (basic RAG): https://t.co/fiSCWp86KI\nCookbook 2 (advanced RAG): https://t.co/3FtZMllOr5\n\nThanks @ericrhare for this day 1 integration.\n\nLlamaIndex + LlamaParse is part of the DataStax press release: https://t.co/vj2jTgw6Dd",
  "reply_count": 4,
  "retweet_count": 63,
  "favorite_count": 318,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [
    {
      "id_str": "1521952764351610880",
      "name": "DataStax Astra DB",
      "screen_name": "AstraDB",
      "profile": "https://twitter.com/AstraDB"
    },
    {
      "id_str": "132051240",
      "name": "DataStax",
      "screen_name": "DataStax",
      "profile": "https://twitter.com/DataStax"
    },
    {
      "id_str": "1604278358296055808",
      "name": "LlamaIndex 🦙",
      "screen_name": "llama_index",
      "profile": "https://twitter.com/llama_index"
    }
  ],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/GG0fLNMaMAAHgox.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/llama_index/status/1760097891551707237",
  "created_at": "2024-02-21T00:23:33.000Z",
  "#sort_index": "1760097891551707237",
  "view_count": 27632,
  "quote_count": 7,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": true,
  "startUrl": "https://twitter.com/llama_index/status/1760097891551707237"
}