> For the complete documentation index, see [llms.txt](https://docs.thub.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.thub.tech/llama-index.md). # 🦙LLama Index Focus on LLM Applications: It helps you turn your enterprise data into applications that leverage LLMs. Data Wrangling for LLMs: LlamaIndex bridges the gap by preparing data for LLMs in a format they can understand and work with. Building Blocks for LLM Workflows: It provides tools to build custom functions and integrate with external data sources, allowing you to create complex workflows for your LLM applications. Open Source and Enterprise Options: LlamaIndex is available as an open-source project, but also offers enterprise solutions for businesses. In essence, LlamaIndex empowers you to build powerful LLM applications by taking care of the data wrangling and integration aspects, so you can focus on the core functionalities of your application. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.thub.tech/llama-index.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.