Intro
With the Tripitaka AI project, we bring the wisdom of Buddhism from the ancient book of Tripitakaya to the public. This RAG application is publicly accessible to all and can interact in English as if you are in conversation with the book itself.
Use Case
The Tripitakaya is a comprehensive and complex collection of Buddhist scriptures,
making it difficult for individuals to navigate and understand without significant prior knowledge. Traditional methods of studying these texts can be time-consuming and require expert guidance. Tripitaka AI addresses these challenges by providing an intuitive and interactive platform for exploring the scriptures.
Tripitaka AI is a project aimed at developing a sophisticated Large Language Model (LLM)-powered application that allows users to interact with the vast collection of Buddhist scriptures, known as the Tripitakaya, in a conversational and intuitive manner. By simulating a knowledgeable Buddhist guide, the AI provides accurate and contextually relevant information, making the teachings of the Tripitakaya easily accessible to a broad audience.
Key Functionalities
- Conversational Interface: Allows users to interact with the AI in natural language, asking questions and receiving contextually relevant answers.
- Scripture Navigation: Facilitateseasy navigation of the vast Tripitaka collection, allowing users to search forspecific texts, topics, or themes.
- Contextual Understanding: Provides explanations and interpretations based on the context of the user's queries, simulating a knowledgeable Buddhist guide.
- Educational Resources: Offers supplementary information, such as historical context, commentaries, and related teachings.
- Personalized Experience: Adapts to the user's level of understanding and preferences, offering a tailored learning experience.
Technology Stack
TripitakaAI’s technology stack has been carefully selected to deliver a robust, efficient, and user-friendly platform. GPT-4's advanced language understanding capabilities, combined with Pinecone's efficient vector data management, ensure that users receive accurate and contextually relevant information. Python provides the necessary scripting and integration to orchestrate the various components, while ReactJS creates a dynamic and interactive frontend.
Agile Team
Sadaruwan
Product Owner
Senior Software Engineer
Saliya
Senior Software Engineer
Chathushi
Senior Test Engineer
Contact Us
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