Question

What is the difference between Kimi and a search engine?

Answer 1

Kimi vs. Search Engines

The following is a comparison between Kimi and search engines:

Kimi:

- Interaction mode: supports natural language dialogue, can ask multiple questions, and understand the context.

- Information processing: directly parse files (such as PDF, Word), summarize the content and answer questions.

- Knowledge integration: integrate multi-source information, provide structured answers, and support follow-up questions.

- Real-time: relies on model training data, and the update cycle is long.

- Personalization: provides customized services based on user habits.

- Privacy protection: the conversation content is not stored, and user privacy is emphasized.

- Usage scenarios: academic research, contract analysis, knowledge integration and other deep information processing.

- Result presentation: directly output answers, support file parsing, table generation, etc.

Search engine:

- Interaction mode: based on keyword search, each query is independent, and there is no context memory.

- Information processing: index web page content, return a list of links, and users need to filter by themselves.

- Knowledge integration: aggregate web page information, and the quality of answers depends on the search algorithm and the authority of the web page.

- Real-time: Real-time crawling of web content, which can quickly reflect the latest information.

- Personalization: Based on a general algorithm, the answers are standardized and cannot be adjusted for individuals.

- Privacy protection: Search behavior may be used for advertising targeting.

- Usage scenarios: Daily information query, news browsing, navigation, etc. to quickly obtain information.

- Result presentation: Return to the list of web links, users need to click to view.

Answer 2

Kimi can search online, output and summarize according to user requirements, and can also specify a single website (site:xx domain name) for search.

The latest version has a new footnote function, which can trace the source.

Traditional search is based on keyword search. You judge whether you need to click in based on the title. There are many advertisements, and you often can't find what you want after flipping through several pages.

Kimi's AI search is based on question search and opinion search. You can ask Kimi with questions and opinions, and get the answer directly, saving time and worry. And you can also let Kimi output according to your format requirements, which can help us complete the preliminary information screening and typesetting.

In addition, Kimi has short-term memory. It can answer according to the context, or give you some suggestions for related questions to help us spread our thinking.

Traditional search engines give search results, and these search results are ranked according to the underlying ranking technology of the search engine. Globally, Google's search engine ranking results are very in line with the needs, and there is not much difference compared with AI search; if compared with other search engines, AI search has more advantages than ordinary search engines. Of course, I usually use Google search, and AI search is an alternative answer.

Answer 3

Kimi AI and search engines have significant differences in functional positioning, interaction methods, information processing and output forms. The following is a brief comparison:

1. Functional positioning

- Kimi AI: An intelligent assistant based on artificial intelligence, focusing on natural language processing, text generation, knowledge reasoning and deep dialogue, providing structured and logical answers, and supporting multiple rounds of interaction and task execution.

- Search engine: An information retrieval tool based on keyword matching, which crawls and indexes web page data and returns a list of web page links related to the query. Users need to filter and judge the information by themselves.

2. Interaction method

- Kimi AI: With natural language dialogue as the core, users ask questions or describe their needs, and AI directly generates answers or performs tasks (such as summarizing documents, generating code, etc.), supporting contextual understanding and multiple rounds of questioning.

- Search engine: Users enter keywords or phrases, and the system returns the search results page (SERP), which contains web page titles, summaries and links. Users need to click on the link to access the specific content.

3. Information processing

- Kimi AI: understands semantics through pre-trained models and algorithms, integrates knowledge bases and real-time data (in network mode), generates customized answers, and can handle complex logic and reasoning tasks.

- Search engine: based on keyword matching and algorithm sorting (such as PageRank), returns web pages related to the query, does not directly parse the content, and relies on web page quality and user click behavior to optimize ranking.

4. Output form

- Kimi AI: directly outputs structured text (such as paragraphs, lists, tables), or performs specific tasks (such as translation, creation), and the answers are usually complete and coherent.

- Search engine: outputs a list of web page links, and users need to click one by one to view the content. The information is scattered and needs to be integrated by themselves.

5. Application scenarios

- Kimi AI: suitable for scenarios that require quick access to accurate answers, execution of tasks or in-depth conversations, such as academic research, content creation, intelligent customer service, etc.

- Search engine: suitable for scenarios that require extensive exploration of information, acquisition of diverse views or search for specific web pages, such as news browsing, product comparison, and learning material search, etc.

6. Technical Principles

- Kimi AI: Relies on natural language processing (NLP), deep learning and knowledge graph technology to generate answers through model training and reasoning.

- Search engine: Relies on web crawlers, indexing technology and sorting algorithms to return results through keyword matching and link analysis.

Summary

- Kimi AI is an "active" information processing tool that generates answers by understanding user needs and is suitable for structured and in-depth tasks.

- Search engine is a "passive" information retrieval tool that returns web pages through keyword matching and is suitable for extensive exploration and diversified information acquisition.

The two are not substitutes, but complementary: users can use search engines to initially locate information, and then use Kimi AI for in-depth analysis and processing.