> For the complete documentation index, see [llms.txt](https://docs.jugalbandi.opennyai.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jugalbandi.opennyai.org/introduction/about-openyai.md). # About OpenyAI Established in 2021, OpenNyAI is a community of legal professionals, technologists, entrepreneurs, policy practitioners, students among others, with a common vision to advance AI for Justice in India. This community is anchored by Agami, EkStep, Microsoft, Thoughtworks & National Law School India University, Bangalore. By enabling creation of the necessary tools, infrastructure, and testbeds, OpenNyAI is making it easier and more affordable for organisations to demonstrate proof of concept across various knowledge bases, extending it beyond just law and justice.Driven by the OpenNyAI initiative, Jugalbandi's mission is to enable social entrepreneurs to harness AI for social impact. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.jugalbandi.opennyai.org/introduction/about-openyai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.