๐Ÿฆ Twitter Post Details

Viewing enriched Twitter post

@llama_index

Build custom retrievers that beat generic vector search by understanding domain-specific context and jargon ๐ŸŽฎ The team at @superlinked shows how to create a Steam games retriever using our custom LlamaIndex integration, combining semantic search with gaming-specific knowledge. ๐ŸŽฏ Custom retrievers hardwire domain expertise - perfect for gaming jargon and complex queries like "strategy co-op game with sci-fi elements" โšก Multi-field indexing combines name, description, genre into single searchable text for richer understanding ๐Ÿ”ง LlamaIndex BaseRetriever needs just one _retrieve method implementation to plug in any custom backend ๐Ÿš€ @superlinked's InMemoryExecutor delivers sub-millisecond latency for real-time recommendations The guide walks through schema design, vector space configuration, and result processing with practical code examples. We show how combining @superlinked's mixture-of-encoders approach with LlamaIndex's RAG infrastructure creates retrievers that actually understand what users mean, not just what they type. Full tutorial with Colab notebook: https://t.co/hrEbW7wrib

Media 1
Media 2

๐Ÿ“Š Media Metadata

{
  "media": [
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1958239189113471234/media_0.png?",
      "filename": "media_0.png"
    },
    {
      "type": "photo",
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1958239189113471234/media_1.jpg?",
      "filename": "media_1.jpg"
    }
  ],
  "processed_at": "2025-08-21T05:32:06.141776",
  "pipeline_version": "2.0"
}

๐Ÿ”ง Raw API Response

{
  "type": "tweet",
  "id": "1958239189113471234",
  "url": "https://x.com/llama_index/status/1958239189113471234",
  "twitterUrl": "https://twitter.com/llama_index/status/1958239189113471234",
  "text": "Build custom retrievers that beat generic vector search by understanding domain-specific context and jargon ๐ŸŽฎ\n\nThe team at @superlinked shows how to create a Steam games retriever using our custom LlamaIndex integration, combining semantic search with gaming-specific knowledge.\n\n๐ŸŽฏ Custom retrievers hardwire domain expertise - perfect for gaming jargon and complex queries like \"strategy co-op game with sci-fi elements\"\nโšก Multi-field indexing combines name, description, genre into single searchable text for richer understanding\n๐Ÿ”ง LlamaIndex BaseRetriever needs just one _retrieve method implementation to plug in any custom backend\n๐Ÿš€ @superlinked's InMemoryExecutor delivers sub-millisecond latency for real-time recommendations\n\nThe guide walks through schema design, vector space configuration, and result processing with practical code examples. We show how combining @superlinked's mixture-of-encoders approach with LlamaIndex's RAG infrastructure creates retrievers that actually understand what users mean, not just what they type.\n\nFull tutorial with Colab notebook: https://t.co/hrEbW7wrib",
  "source": "Twitter for iPhone",
  "retweetCount": 6,
  "replyCount": 3,
  "likeCount": 30,
  "quoteCount": 0,
  "viewCount": 7266,
  "createdAt": "Wed Aug 20 18:46:19 +0000 2025",
  "lang": "en",
  "bookmarkCount": 37,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "1958239189113471234",
  "displayTextRange": [
    0,
    279
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "llama_index",
    "url": "https://x.com/llama_index",
    "twitterUrl": "https://twitter.com/llama_index",
    "id": "1604278358296055808",
    "name": "LlamaIndex ๐Ÿฆ™",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1623505166996742144/n-PNQGgd_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1604278358296055808/1752258343",
    "description": "",
    "location": "",
    "followers": 100561,
    "following": 28,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Sun Dec 18 00:52:44 +0000 2022",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 1430,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 1699,
    "statusesCount": 3526,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "Build AI agents over your documents\n\nGithub: https://t.co/HC19j7vMwc\nDocs: https://t.co/QInqg2zksh\nLlamaCloud: https://t.co/yQGTiRSNvj",
      "entities": {
        "description": {
          "urls": [
            {
              "display_url": "github.com/run-llama/llamโ€ฆ",
              "expanded_url": "http://github.com/run-llama/llama_index",
              "indices": [
                45,
                68
              ],
              "url": "https://t.co/HC19j7vMwc"
            },
            {
              "display_url": "docs.llamaindex.ai",
              "expanded_url": "http://docs.llamaindex.ai",
              "indices": [
                75,
                98
              ],
              "url": "https://t.co/QInqg2zksh"
            },
            {
              "display_url": "cloud.llamaindex.ai",
              "expanded_url": "https://cloud.llamaindex.ai/",
              "indices": [
                111,
                134
              ],
              "url": "https://t.co/yQGTiRSNvj"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "llamaindex.ai",
              "expanded_url": "https://www.llamaindex.ai/",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/epzefqQqZx"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/SeSqUApIM0",
        "expanded_url": "https://twitter.com/llama_index/status/1958239189113471234/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {},
          "orig": {}
        },
        "id_str": "1958239184378101760",
        "indices": [
          280,
          303
        ],
        "media_key": "3_1958239184378101760",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARstECm6G4AACgACGy0QKtRbgQIAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABGy0QKbobgAAKAAIbLRAq1FuBAgAA",
            "media_key": "3_1958239184378101760"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/Gy0QKbobgAApyNJ.png",
        "original_info": {
          "focus_rects": [
            {
              "h": 1600,
              "w": 2858,
              "x": 0,
              "y": 0
            },
            {
              "h": 2108,
              "w": 2108,
              "x": 0,
              "y": 0
            },
            {
              "h": 2108,
              "w": 1849,
              "x": 0,
              "y": 0
            },
            {
              "h": 2108,
              "w": 1054,
              "x": 116,
              "y": 0
            },
            {
              "h": 2108,
              "w": 2858,
              "x": 0,
              "y": 0
            }
          ],
          "height": 2108,
          "width": 2858
        },
        "sizes": {
          "large": {
            "h": 1511,
            "w": 2048
          }
        },
        "type": "photo",
        "url": "https://t.co/SeSqUApIM0"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "urls": [
      {
        "display_url": "superlinked.com/vectorhub/artiโ€ฆ",
        "expanded_url": "https://superlinked.com/vectorhub/articles/custom-retriever-with-llamaindex",
        "indices": [
          1078,
          1101
        ],
        "url": "https://t.co/hrEbW7wrib"
      }
    ],
    "user_mentions": [
      {
        "id_str": "1170075640860762112",
        "indices": [
          123,
          135
        ],
        "name": "Superlinked",
        "screen_name": "superlinked"
      },
      {
        "id_str": "1170075640860762112",
        "indices": [
          638,
          650
        ],
        "name": "Superlinked",
        "screen_name": "superlinked"
      },
      {
        "id_str": "1170075640860762112",
        "indices": [
          875,
          887
        ],
        "name": "Superlinked",
        "screen_name": "superlinked"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "article": null
}