> For the complete documentation index, see [llms.txt](https://aiden-labs.gitbook.io/aiden-labs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiden-labs.gitbook.io/aiden-labs/aiden-products/core-technologies.md). # Core Technologies Aiden combines cutting-edge technologies—**blockchain**, **AI**, **distributed storage**, and advanced **search algorithms**—to create a secure, decentralized, and efficient platform. Blockchain ensures data integrity and privacy through smart contracts, while AI powers natural language processing for interactive, human-like responses. Distributed storage on IPFS boosts data security and speed, and Aiden’s sophisticated search algorithms deliver accurate, context-aware results. Together, these technologies form a powerful foundation for Aiden’s user-centric digital ecosystem. ## Blockchain * **Built on EVM Blockchain**: Aiden uses EVM's smart contract technology to ensure data transparency, privacy, and security. * **Automatic Transactions**: Smart contracts automate tasks without intermediaries, making processes faster and more efficient. * **Big Data Processing**: Blockchain enables quick, decentralized data handling, ideal for managing large datasets securely. ## AI * **NLP and Generative AI**: Aiden integrates advanced natural language processing (NLP) models, such as the GPT series, to understand and create text, images, and videos. * **Conversational AI**: Aiden’s AI chatbot interacts like a human, using NLP and large language models (LLMs) to understand and respond to user queries. * **Real-Time Learning**: The AI continuously learns from new data in an open-source environment, staying current and responsive. ## Distributed Storage * **Powered by IPFS**: Aiden uses the InterPlanetary File System (IPFS) to store data securely across a network of nodes. * **Efficient and Cost-Effective**: By splitting files and retrieving them simultaneously from multiple sources, IPFS reduces bandwidth costs and improves speed. * **Decentralized and Secure**: With P2P communication and no central servers, IPFS prioritizes network security and data integrity. ## Search Algorithms * **Intelligent Search**: Aiden’s algorithms use NLP to analyze natural language queries, finding the most relevant information. * **Word Embedding**: AI identifies similarities in words, enabling the system to perform context-aware searches. * **Versatile Approaches**: Depending on the data, Aiden’s algorithms can perform blind searches, heuristic searches, or reference-based searches for precise results. Each of these technologies forms the foundation of Aiden, working together to provide a transparent, secure, and efficient platform for information retrieval and content creation. --- # 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://aiden-labs.gitbook.io/aiden-labs/aiden-products/core-technologies.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.