AI Apps Findsight
Findsight

Findsight

Search engine for comparing non-fiction works' key insights.

Findsight

Overview of Findsight AI: A Search Engine for Non-Fiction Insights

Findsight AI is a unique search engine designed to help users explore and compare the core ideas from thousands of non-fiction works. It utilizes both basic and AI-powered filters to refine search results, making it easier for users to discover and understand the key points made by various sources. This tool is particularly useful for those interested in syntopical reading, a method that involves reading multiple books on the same subject to understand it from different perspectives.

Key Features

  • Claims-Based Search: Findsight AI focuses on claims — the key points made by sources — allowing users to discover and compare these claims across different non-fiction works.
  • Syntopical Reading: The platform supports syntopical reading by enabling users to navigate through related claims and create their own learning journey.
  • Filters for Refined Search:
    • Basic Filters: Include mention, references, discuss, and more, helping users to narrow down search results based on specific criteria.
    • AI-Powered Filters: Include state and answer filters, which allow for advanced searching capabilities, such as finding related claims or answering specific questions.
  • Random Insight Exploration: Users new to Findsight AI can click the Random button to explore a random claim and its related sources, making the discovery process engaging and serendipitous.
  • Direct Links to Original Sources: Each claim is linked to the original books or articles, facilitating further reading and research.

How to Use Findsight AI

  1. Start with a Search: Users can add one or more filters to the search bar and click "Find" to begin exploring non-fiction content.
  2. Refine Your Search: Utilize basic or AI-powered filters to refine search results. For example, the mention filter finds sources based on literal text, while the references filter allows for more precise searching by suggesting named entities and concepts.
  3. Explore Claims: Click on titles for more context around highlighted claims. Use the → arrow to explore more related claims and navigate through different ideas and perspectives.
  4. Advanced Searching: For more targeted searches, the state filter lets users enter a custom claim to find related claims, and the answer filter helps in finding claims that address specific questions.

Practical Applications

  • Academic Research: Findsight AI can be an invaluable tool for students and researchers looking to quickly find and compare ideas across a wide range of non-fiction literature.
  • Personal Learning: Individuals interested in self-education can use Findsight AI to explore new topics, understand different viewpoints, and deepen their knowledge in specific areas.
  • Professional Development: Professionals can use the platform to stay informed about the latest trends, research, and ideas within their industry.

Findsight AI offers a novel approach to exploring non-fiction content, making it easier for users to understand complex ideas and enhance their learning experience. By leveraging both basic and advanced search filters, Findsight AI provides a comprehensive tool for anyone looking to dive deep into the world of non-fiction.

Related Video

  • This video presents a detailed overview of "Findsight," a hybrid/AI search engine designed for comparing key insights across non-fiction content.
  • The speaker, Pierre, explains the technical aspects of building Findsight, including the use of large language models for extracting claims from texts and the innovative use of embeddings to find similar pieces of text.
  • He also discusses the challenges and solutions in indexing and searching through the data, emphasizing the use of AI to enhance the reliability and efficiency of the search engine.
  • The video concludes with a demonstration of Findsight in action, showcasing its ability to analyze and compare claims from various sources, and a brief discussion on user engagement and the quirky queries they have inputted.
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