The video demonstrates how to create a chat application that interacts with a library of the top 100 public domain philosophy books from Project Gutenberg, involving steps like downloading, preprocessing the text, and embedding it in a vector store using ChromaDB. The application allows users to pose philosophical questions and receive insightful responses powered by GPT-4, facilitating an engaging exploration of philosophical concepts.
In the video, the presenter demonstrates how to create a chat application that interacts with a library of the top 100 most popular philosophy books available in the public domain, specifically from Project Gutenberg. The process begins with programmatically downloading these books, which include famous titles such as “The Picture of Dorian Gray,” “Critique of Pure Reason,” and “Discourse on Method.” The presenter explains the methodology for scraping the necessary data from Gutenberg’s website, including handling pagination and downloading the text versions of the books.
Once the books are downloaded, the next step involves preprocessing the text. This includes removing introductory materials that accompany each book, which are added by Project Gutenberg. The presenter explains how the books are then chunked into smaller sections based on a specified word count, allowing for easier retrieval during the query process. These chunks are then embedded into a vector store using ChromaDB, enabling efficient querying of the content.
The video showcases the querying capabilities of the application by posing philosophical questions to the library. The user can specify how many results they wish to retrieve, and the application returns relevant chunks of text from the books along with their source information. The presenter highlights the ability to explore different philosophical concepts through the retrieved text, thereby providing a way for users to discover which books might interest them further.
One of the key features demonstrated is the interactive chat functionality, powered by GPT-4. The user can engage in a conversation with the library, asking questions and receiving concise, insightful responses based on the content of the books. The AI is instructed to avoid referencing specific authors and instead provide general wisdom derived from the collected text. The presenter illustrates this by asking various philosophical questions and showcasing the AI’s responses, demonstrating the effectiveness of the system.
Finally, the video concludes with an invitation to access the project’s code files and related resources via the presenter’s Patreon. The benefits of becoming a patron are emphasized, including access to numerous projects, courses on coding, and opportunities for one-on-one consultations. The presenter expresses enthusiasm for the project and encourages viewers to engage with the content, subscribe for future updates, and consider supporting the initiative through Patreon.