# BeeARD

## BeeARD AI

- [Introduction](https://docs.beeard.ai/getting-started/readme.md)
- [Autonomous Research Discovery](https://docs.beeard.ai/sci-hive/autonomous-research-discovery.md)
- [Knowledge Graph](https://docs.beeard.ai/sci-hive/knowledge-graph.md)
- [Generation System](https://docs.beeard.ai/sci-hive/generation-system.md)
- [Validation System](https://docs.beeard.ai/sci-hive/validation-system.md): The Validation System verifies generated hypotheses, ensuring that only the most novel and meaningful ideas progress in the research pipeline.
- [Roadmap](https://docs.beeard.ai/sci-hive/roadmap.md): This roadmap outlines key developments.
- [HypGen](https://docs.beeard.ai/projects/hypgen.md): Infinite Autonomous Research Generator designed to produce and validate scientific hypotheses at scale.
- [PsyBEE](https://docs.beeard.ai/projects/psybee.md): PsyBEE is end-to-end Autonomous Research Discovery System built with psychedelic science in mind for PsyDAO.
- [Responsible Vibe Coding Guide](https://docs.beeard.ai/blog/responsible-vibe-coding-guide.md)
- [Tokenomics](https://docs.beeard.ai/ecosystem/tokenomics.md)
- [Open-Source Contribution](https://docs.beeard.ai/ecosystem/open-source-contribution.md): Let's redefine the future of research, together.
- [Stay Connected](https://docs.beeard.ai/ecosystem/stay-connected.md)
- [Brand Toolkit](https://docs.beeard.ai/ecosystem/brand-toolkit.md): Your one-stop shop for BeeARD assets.
- [V0: Hypothesis Generation (Ghafarollahi & Buehler, 2024)](https://docs.beeard.ai/methodologies/v0-hypothesis-generation-ghafarollahi-and-buehler-2024.md)
- [V0: Building KG (Buehler, 2024)](https://docs.beeard.ai/methodologies/v0-building-kg-buehler-2024.md)


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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, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.beeard.ai/getting-started/readme.md?ask=<question>
```
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.