# Overview **Sunbird AI Assistant** enables building Chat Bot based solutions powered by GenAI, that can provide easy access to timely, relevant and contextual information and suggestions to user queries. As part of Sunbird, it is a Digital Public Good (DPG) designed based on micro-services architecture and open for anyone to use. The AI Assistant provides ability to understand and respond to queries in natural language (can support multiple languages). It analyses the overall context instead of just searching for exact keywords, leading to more precise and contextual responses. The AI Assistant differs from generic AI chat bots like ChatGPT by its ability to train the bots on specific set of contents based on which the responses are provided. This would make the responses trustworthy and a lot more relevant to the use cases being implemented. As a DPG, it enables the following: 1. By being platform independent, DPG based solutions bring in the value of **eliminating vendor or product lock-in**. This is very important for long term sustainability of the solution. 2. Provides more **choices for implementation** and hence can enable **optimized solutions** for a given scenario. 3. Through open specifications and standards, it enables **interoperability**. This helps in easy stitching together of multiple solutions creating **multiplier value**. 4. Open license and an open ecosystem around it, enables easy **evolvability**. The DPG can adapt and evolve over time, allowing for **continuous updates**. It would invite others to join and build solutions, thereby **enhancing its value proposition** and ensuring **ongoing relevance** and usefulness. 5. Apart from software, it enables creating a **common knowledge base** as part of the DPG in terms of guidelines, best practices and processes in rolling out solutions. 6. The open source software also **reduces initial time and cost** of creating solutions. A national scale adoption of Sunbird AI Assistant is [e-Jaadui Pitara](https://ai-assistant.sunbird.org/functional-overview/use-cases/e-jaadui-pitara) by NCERT. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://ai-assistant.sunbird.org/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.