> For the complete documentation index, see [llms.txt](https://guide.indigo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.indigo.ai/getting-started/ai-knowledge-hub.md).

# AI Knowledge Hub

Artificial Intelligence (AI) is transforming the way businesses interact with customers, automate processes, and generate content. At indigo.ai, we empower businesses with cutting-edge AI solutions, leveraging Natural Language Processing (NLP), Conversational AI, Generative AI, and Large Language Models (LLMs).

This **AI Knowledge Hub** serves as a central guide for understanding these core AI concepts and how they power the indigo.ai platform. Below, you’ll find a series of articles that provide both introductory and deep-dive insights into these technologies.

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#### [Introduction to AI: A Beginner’s Guide](/getting-started/ai-knowledge-hub/introduction-to-ai-a-beginners-guide.md)

If you’re new to AI, this beginner-friendly guide introduces the fundamental concepts of Artificial Intelligence, including how AI works and why it matters for businesses.
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#### [Retrieval Augmented Generation (RAG)](/getting-started/ai-knowledge-hub/introduction-to-ai-a-beginners-guide/retrieval-augmented-generation-rag.md)

A deep dive on how indigo.ai uses Retrieval Augmented Generation (RAG) to enhance the accuracy and relevance of its AI assistants, combining the power of Large Language Models with real-time data from external knowledge sources.
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#### [Conversational AI and Generative AI](/getting-started/ai-knowledge-hub/introduction-to-ai-a-beginners-guide/conversational-ai-and-generative-ai.md)

Conversational AI and Generative AI are shaping the future of digital interactions. This article explains:

* How chatbots and virtual assistants use AI to engage in natural conversations
* The role of Generative AI in content creation and automation
* How indigo.ai uses Generative AI
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#### [Large Language Models (LLMs) Available on Our Platform](/getting-started/ai-knowledge-hub/large-language-models-llms-available-on-our-platform.md)

Large Language Models (LLMs) are the backbone of modern AI applications, enabling machines to understand and generate human-like text. In this article, we cover:

* The different LLMs available in indigo.ai and their capabilities
* How to choose the best model based on speed, accuracy, and reasoning power
* Best practices for selecting an LLM in AI workflows.
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---

# 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://guide.indigo.ai/getting-started/ai-knowledge-hub.md?ask=<question>&goal=<endgoal>
```

`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.