Metaphor

Metaphor,AI search engine based on large language models

Metaphor Official Website, AI Search Engine Based on Large Language Models

Metaphor Introduction

Metaphor is a new intelligent search engine and knowledge graph platform that automates data mining and knowledge extraction from large-scale, multi-dimensional information, helping users quickly locate the information they need and providing relevant knowledge and intelligent problem-solving solutions.

The Metaphor system uses graph technology to build information networks, integrating various information sources into an accessible platform, including databases, technical literature, news, social media, etc. With its AI intelligent analysis capabilities, Metaphor can extract useful content from these sources, organize it into a knowledge graph, and support efficient cross-domain information retrieval and queries.

Metaphor Official Website:https://metaphor.systems/

Main Features

1. Search with Specific Descriptors or "Ambiance":

•Users can use specific words or expressions to describe the feeling or ambiance of the content they want to find.

•For example, if users want to find some relaxing, romantic music, they can use descriptors like "relaxing jazz" or "romantic dinner music" for their search.

•This method allows users to express their intentions more precisely and find results that match their emotions and ambiance better.

2. Search Only for Desired Entity Types:

•Users can specify the specific type or category of search results they want.

•For example, if users are only interested in academic articles, they can specify to search only for academic articles, not blog posts, news reports, or other types of content.

•This helps users find the specific type of content they want faster and filter out irrelevant results.

3. Find Content Not Displayed by Traditional Search Engines:

•Metaphor can find content that may not be well displayed by traditional search engines due to inappropriate keywords or other reasons.

4. Search Through Links Themselves:

•Users can find other links most similar to a given link by providing a link.

•This helps users find more resources related to a specific topic or content.

5. Integration with Large Language Models (LLMs):

•Metaphor can be combined with LLMs, allowing LLMs to query the external world and consume content from the internet.

•This helps overcome the limitations of LLMs, such as producing incorrect information or outdated knowledge.

6. Metaphor API:

•Metaphor provides an API that allows developers to integrate its search functionality into their own applications or services.

•The API also provides clean, parsed HTML content without the need for web scraping.

•For individual developers, Metaphor API offers 1000 free requests per month.

In the Metaphor system, users can search and query various questions using natural language, and we can see that the main goal of this website is to provide precise and personalized solutions and answers. Metaphor also uses some advanced search and filtering features, such as time and location, to better help users locate the information they need.

In addition to this, Metaphor offers some other services, such as recommendation algorithms and knowledge graph-based medical diagnosis and decision support assistance. These services demonstrate the powerful technology and capabilities of the Metaphor system.

In summary, Metaphor.systems is an intelligent search engine and knowledge platform based on knowledge graph technology, providing customized, precise, and personalized answers and solutions, supporting efficient cross-domain information retrieval and queries. If you need to conduct research and solve complex problems, Metaphor may be a good choice.

It allows users to search using full sentences and natural language, and can simulate the way people share and discuss links on the internet.

Metaphor can also be used with LLMs, allowing LLMs to connect to the internet and query content outside their knowledge base.

After testing, it only supports English, but the effect is good, similar to chatting with ChatGPT, but the output is a lot of content at once, which is still very convenient!

Working Principle

Metaphor's AI model is trained to perform link prediction. This means that given some text prompts, it will try to predict the most likely link to follow the prompt.

This method simulates the way people discuss links on the internet and serves as a measure of link content and quality.

For example, users can use prompts like "Besides Terry Tao's blog, this is my favorite math blog:" instead of searching for "the best math blog."

Using prompts like "This person would be a good choice for a motorcycle enthusiast (personal website here:)" simulates the natural way people speak when sharing links.