What is Findsight?
FINDSIGHT AI is a search engine that allows users to explore and compare the core ideas from thousands of non-fiction works. It is a syntopical reading engine that allows users to discover and compare claims from multiple sources, navigate through related topics and create their personalized learning journey. Users can filter their search results using the basic filters such as the MENTION and REFERENCES filters or the more advanced AI-powered filters such as the STATE and ANSWER filters. The MENTION filter works like Google and identifies sources based on literal text, while the REFERENCES filter suggests named entities or concepts referenced across sources that can be used to refine results. The DISCUSS filter works similarly to the REFERENCES filter but targets specific tags linked to a source. The AI-powered filters, STATE and ANSWER, allow users to enter their custom claims, find related claims useful for citations, and find claims that address a question with accompanying data to help answer it. Overall, FINDSIGHT AI provides a robust platform for exploring and comparing ideas from multiple sources to enhance users' learning and understanding of various topics.
Pros
- Specializes in non-fiction works
- Comparative analysis of sources
- Syntopical reading engine
- Personalized learning journeys
- Basic filters for refining
- Literal text identification
- Entity reference filter
- Tag specific DISCUSS filter
- Custom claims entry
- Citation assistance
- Question answering capability
- Contextual data provision
- Supports different search prefixes
- Named entities differentiation
- Provides links to original sources
- Topics linked to source
- Random browsing option
- Sharing results option
Cons
- Limited to non-fiction content
- Complex for beginner users
- Basic filters lack precision
- No mobile application
- Requires constant refining of results
- No multilingual support
- Limited user interface customization
- No offline usability
- Potentially selective source material
Findsight FAQ
What is Findsight AI?
Findsight AI is a search engine specifically designed to explore and compare core ideas from thousands of non-fiction works. This platform caters to the needs of individuals seeking to understand different perspectives on a particular topic from multiple sources. Its unique function is its ability to perform syntopical reading, enabling users to discover and compare claims from various authors and works.
How does Findsight AI work?
Findsight AI operates by enabling users to explore non-fiction content based on claims, which are the key points made by different sources. Users enter their search criteria and can apply various filters to refine the results. Available filters include BASIC filters like MENTION and REFERENCES, and AI-powered filters such as STATE and ANSWER. Claims identified by these filters can then be compared and explored further to create a more personalized learning journey.
What are the main features of Findsight AI?
The main features of Findsight AI include various search filters including MENTION, REFERENCES, DISCUSS, STATE, and ANSWER. It offers syntopical reading, which lets users discover and compare claims from different sources. Users can refine their search results based on literal text or named entities using the MENTION and REFERENCES filters respectively, target specific tags linked to a source through the DISCUSS filter, or use the advanced AI-powered STATE and ANSWER filters to search for related claims useful for citations or that answer a specific question.
How does the MENTION filter work in Findsight AI?
The MENTION filter in Findsight AI works similarly to a typical Google search, finding sources based on literal text input by the user. While it serves as a good starting point, it may lack precision and broadens the range of results. For example, searching for 'running' could yield results not only in relation to the sport but also about running a business or state-run systems.
Can you explain how the REFERENCES filter works in Findsight AI?
In Findsight AI, the REFERENCES filter refines search results by suggesting named entities or concepts referenced across sources that can be used to further refine results. Users can type a term and select suggestions that appear. Some suggestions link to Wikipedia, while others are named entities. For instance, typing 'running' could produce 'Skill running' as a named entity or 'Run (baseball)' as a linked entity with a Wikipedia icon.
What does the DISCUSS filter do in Findsight AI?
The DISCUSS filter in Findsight AI targets specific tags linked to a source. It functions similarly to the REFERENCES filter but focuses solely on specified topics associated with a given source. These topics appear right beneath each result's title as an expandable list, and may provide more refined and specific search results.
What is the difference between basic and AI-powered filters in Findsight AI?
In Findsight AI, basic filters - MENTION, REFERENCES, and DISCUSS - identify sources based on literal text, named entities or suggestions, and specific tags linked to a source respectively. On the other hand, AI-powered filters - STATE and ANSWER - allow users to enter their custom claims or questions. The STATE filter identifies related claims, while the ANSWER filter locates claims that address the input question with relevant context and data.
How do the STATE and ANSWER filters function in Findsight AI?
In Findsight AI, the STATE filter lets users enter a custom claim to find related claims, useful for citations. The ANSWER filter, on the other hand, identifies claims that directly address a question entered by the user and provides accompanying context and data to help answer it.
