## 🔥 Viking AI Search Overview

**Viking AI Search** ** is a next\-generation search engine powered by advanced large language models and ByteDance’s extensive expertise in information retrieval. Beyond traditional search and recommendation capabilities, it empowers enterprises to deploy intuitive conversational assistants. By leveraging multi\-turn interactions for search, discovery and Q&A, AI Search helps deepen user engagement while accelerating an enterprise's AI transformation.** Core Functions & Value Propositions: 1. **Multimodal Hybrid Search:** Based on ByteDance’s self\-developed high\-performance vector database, we unify the understanding of text, images, video, and other content forms to achieve accurate cross\-modal retrieval and Q&A. For example, users can upload a poster, and the system will find video materials in a similar style. 2. **Personalized Recommendation: ** By synthesising the vast knowledge of large language models with deep behavioural analytics, the engine captures users' both long\-term preferences and real\-time intent. It generates natural language justifications based on unique user profiles. 3. **Conversational Search Assistant:** Deploy AI agents with a single click to integrate discovery, search, and Q&A into one interface. It supports multi\-turn interaction clarification, improving user experience, reducing search costs, and enabling faster and deeper understanding of products or content. 4. **One\-Stop Setup for Search, Recommendation, and Q&A Assistants:** Seamlessly integrate private enterprise data and user behaviour data to build a holistic "Search + Recommendation + Q&A" in one place, empowering platform growth at lower costs. 5. **Minimal Configuration, Fast Integration:** As a ready\-to\-use product with minimal intelligent configuration, you can launch dedicated AI search and recommendation services in as few as four steps. We handle complexity, so you can focus on business innovation and rapid scaling. ![图片](https://p9-arcosite.byteimg.com/obj/tos-cn-i-goo7wpa0wc/50e5323fb28b4f21bdc6509f1ca88274 =1638x) ## 🌟 **Why Choose AI Search?**

* **Strategic Platform Evolution:** In the LLM era, AI\-driven search is no longer an elective — it is the new industry standard. As users become accustomed to conversational and intuitive retrieval, failing to adapt risks diminishing product competitiveness. Viking AI Search offers **value\-added AI integration ** — enhancing your existing search box with summarisation and cross\-modal capabilities rather than replacing your proven systems. * **Integrated Growth Engine:** By creating a synergy among **Search, Recommendation, and Conversation**, we help you fully activate **User Lifetime Value**. This unified approach builds a high\-velocity growth flywheel of “Attract → Explore → Retain → Convert”. * **Rapid Market Entry:** Our "ready\-to\-use" architecture lowers technical barriers, allowing your enterprise to deploy sophisticated AI capabilities **in days**. Stay ahead of market trends while focusing your resources on core business innovation. ## 🎯 Use Cases

|

|||\ |👩🎓 Image Asset Platform

| | |\ || | |\ |>

| | |\ |Multimodal search and conversational reasoning redefine the asset retrieval paradigm.

| | |\ | | | | |---|---|---| |

|

|

|\ |Industry Pain Points

|Solutions

|Value

|\ ||||\ |Given the rich semantics of images clash with impoverished tags:||Bridging the “semantic gap” to unlock the full potential of massive asset libraries. By drastically improving search precision and discovery rates, we drive user stickiness and accelerate paid conversion.|\ |How to ensure precise matching?|* **Multimodal Hybrid Search:** Supports "image + text" hybrid search for precise understanding of visual content and style. | |\ |How to understand vague, abstract visual needs? |* **Conversational Guided Exploration:** Refines vague intent into precise instructions through multi\-turn dialogue. | |\ |How to make high\-quality content stand out in massive libraries? |* **AI Automatic Semantic Understanding:** Automatically generates deep semantic tags (e.g., style, emotion) surpassing manual labeling.| |\ | || |\ | | | | |

|||\ |🛍️ E\-Commerce / Online Retails

| | |\ || | |\ |>

| | |\ |Intelligent Shopping Guide drives GMV growth through seamless AI integration and personalized exploration.

| | |\ | | | | |

|

|

|\ |Industry Pain Points

|Solutions

|Value

|\ ||||\ |As acquisition costs continue to rise, and user decision\-making paths are complex:||By maximising product discovery efficiency and minimizing conversion friction, we deliver a superior shopping experience that directly boosts user retention and long\-term repurchase rates. |\ |How to boost conversion rates and average transaction value (ATV)? |* **Intelligent Search:** Multimodal product search (search by image, search by scene), precise understanding of long\-tail demand, and provision of purchasing advice. | |\ |How to handle the challenge of massive SKUs and user personalisation needs?|* **personalized** ** Shopping Guide Assistant:** 24/7 online, offering product recommendations, styling suggestions, and promotional guidance based on user profiles and conversations, even generating comparative analysis to build trust and boost conversion / ATV. | |\ | |* **Intelligent Recommendation Feeds:** Hyper\-personalized product feeds, associated recommendations, and scenario\-based recommendations (e.g., "Camping Essentials," "New Mom Must\-Haves"). | | |

|||\ |🎬 Content / Video Platforms

| | |\ || | |\ |>

| | |\ |Enhancing user session time and activity through immersive content discovery and interaction.

| | |\ | | | | |

|

|

|\ |Industry Pain Points

|Solutions

|Value

|\ ||||\ |Content is highly homogenized, and user attention is scarce:||Enhance content reach and user participation through AI\-driven distribution. This approach increases average session duration and effectively scales subscription\-based monetisation. |\ |How to make high\-quality content stand out? |* **AI Content Search:** Search within videos, cross\-modal content retrieval (text, images, audio, video), and topic aggregation. | |\ |How to boost user interaction willingness and platform stickiness?|* **Intelligent Watch\-Along Assistant / Content Recommender:** Plot Q&A, background knowledge popularisation, personalized content feed based on viewing history and preferences, and discovery of similar content. | |\ | | | |