Why Our Disclaimer Matters
At MahaKumbh 2025 Multilingual Guide, our goal is to provide accurate, reliable, and up-to-date information about the MahaKumbh Mela 2025 and related topics. However, as the nature of events and details can change frequently, this disclaimer serves to educate users about the limitations of our content and the technology behind our platform.
Technology Behind Our Knowledge Base
Our platform leverages cutting-edge Retrieval-Augmented Generation (RAG) technology, which allows us to generate accurate and relevant responses from our dynamic Knowledge Base. We continuously update this Knowledge Base with verified information from diverse sources, including:
• Government announcements
• Media reports
• Local sources
• Press releases from governmental and non-governmental organizations
Despite our best efforts, there may be occasional discrepancies due to rapidly changing information or interpretations of source material.
Scope of Information
• The content provided on our platform is intended for general informational purposes only.
• While we strive for accuracy, users are encouraged to independently verify details before making decisions based on the information provided.
• Any reliance on the information is at the user’s discretion and risk.
Constant Updates
We are committed to keeping our Knowledge Base current by:
• Adding new and verified details about MahaKumbh Mela 2025 as they become available.
• Regularly updating historical and cultural information to reflect the glorious history of Vedic Dharma.
Liability and Responsibility
• We do not guarantee that all content is free from errors or omissions.
• We are not liable for any inaccuracies or outdated information, as updates depend on the availability and reliability of sources.
Encouragement for Independent Verification
To ensure an informed and fulfilling experience, we recommend users:
• Verify critical details independently.
• Use discretion when interpreting content, especially regarding event schedules, logistics, and official announcements.
By understanding this disclaimer, users can fully appreciate the efforts behind our platform while making well-informed decisions during their journey into the ocean of knowledge.
The use of LLMs, such as the models we utilize, has been extensively discussed by thought leaders in Silicon Valley, including
Your disclaimer is a solid starting point, but it can be further enhanced to ensure clarity, legal robustness, and user education about the technology and fair use principles. Here’s an improved version based on your provided text:
Technology, Fair Use, and Knowledge Base
How Our RAG-powered Knowledge Base Works
Our Knowledge Base, aptly named “Saraswati” after the Goddess of Wisdom, leverages Retrieval-Augmented Generation (RAG) technology to provide accurate and concise information. It is built on a foundation of publicly available content, including but not limited to:
• Articles
• Research papers
• PDF books
• News articles
The information is processed and summarized into query-specific responses limited to 250 tokens (approximately 200 words). These summaries emulate a human approach to condensing knowledge, offering bullet-point insights rather than verbatim excerpts.
Large Language Models (LLMs) and Fair Use
Our system utilizes two third-party foundational models (FMs) for its functionality:
1. Vector Embedding Model: Converts content into a searchable format, enabling efficient information retrieval.
2. Retrieval-Augmentation Model: Summarizes and presents knowledge from the Vector Database in a user-friendly format.
We do not control the algorithms or programming of these models, including any inherent biases that may exist.
The use of Generative AI and LLMs has been widely discussed in the context of fair use. Industry leaders, including the founder of OpenAI and experts in intellectual property law, have highlighted that:
• Generative AI’s reliance on publicly available data often falls under non-expressive use.
• This makes it a strong candidate for fair use protection, provided it is operated with care and respect for copyright principles.
For any clarifications or support, please refer to our Contact Us page.