> For the complete documentation index, see [llms.txt](https://knowledge-nexus-ai.gitbook.io/knai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge-nexus-ai.gitbook.io/knai/roadmap.md).

# Roadmap

### Q3 2024

**Objective:** Deliver MVP to establish foundational functionality and introduce KNAI to the market.

* **Platform Development:**
  * Build and release the initial version of the KNAI platform, focusing on core capabilities to upload, manage, and transform table data into graph data, enabling accessible and decentralized data management.
  * Implement role-based data management access to ensure secure and customized access permissions.
  * Refine and update the platform’s tokenomics model to ensure a sustainable, incentivized ecosystem for early adopters and contributors.
* **AI Development:**
  * Complete the development of KNAI ALM (Automated Learning Model) with a specialized focus on leveraging graph data to optimize data insights.
  * Begin the initial training of KNAI ALM to build foundational intelligence, setting the stage for scalable AI-driven data analysis and predictions.

### Q4 2024

**Objective:** Expand platform usability with enhanced integrations and user-friendly node deployment.

* **Platform Development:**
  * Develop a user-friendly Node Dashboard that enables seamless interaction with deployed nodes, fostering enhanced monitoring and control for users and administrators.
  * Integrate with Binance Smart Chain to leverage blockchain security and token interaction, establishing the groundwork for future tokenomics features.
* **Node Development:**
  * Launch POW Test Net nodes to validate and simulate proof-of-work within the platform, testing blockchain functionalities and network resilience.
  * Implement a one-click deployment feature via WebAssembly (wasmCloud), offering users a simplified, efficient method for node deployment without requiring extensive technical knowledge.
* **AI Development:**
  * Increase the RAG query capabilities through on-the-fly vectorization during creation

### Q1 2025

**Objective:** Enable robust node monitoring, multiple-file graphing, and scalable deployment options to expand user engagement and platform capabilities.

* **Platform Development:**
  * Roll out real-time node monitoring to provide users and admins with instant insights into node health, uptime, and performance, enhancing user trust and engagement.
  * Improve the Graph Build module by adding support for multiple file uploads, allowing users to generate graphs from complex datasets.
  * Expand the types of files supported, increasing the platform’s flexibility and accessibility.
* **AI Development:**
  * Enhance KNAI ALM’s compatibility with multiple files, enabling more comprehensive data analysis and insights across larger, interconnected datasets.
  * Prompt caching for public graphs
  * Autogenerated cases and examples for quality increasement
* **Node Development:**
  * Introduce KNAI-managed deployment, simplifying setup for users by allowing KNAI to handle backend deployment tasks.
  * Launch solutions for AWS Marketplace, allowing organizations to adopt KNAI nodes via AWS for seamless integration into their existing infrastructure.
  * Provide a manual deployment option for advanced users who require granular control over their node configurations.

### Q2 2025

**Objective:** Secure platform launch and decentralized network enhancement, enabling tokenized ownership and scaling the KNAI ecosystem.

* **Platform Development:**
  * Implement extensive security improvements across user access, data, and node integrity to fortify the platform against cyber threats.
  * Introduce NFT-based ownership for both data and nodes, creating a decentralized, blockchain-secured ownership model.
  * Launch the KNAI Mainnet to go live with fully decentralized, production-ready infrastructure.
* **Node Development:**
  * Transition nodes to a POS (Proof of Stake) model on the Mainnet, supporting scrapping, computation, data management, and graph storage functions.
  * Expand node types to support diverse workloads, enhancing the robustness and functionality of the KNAI decentralized network.
* **AI Development:**
  * Custom prompting
  * Custom semi-AI preprocessing before graph creation

### Q3 2025

**Objective:** Optimize the platform for scalability, market accessibility, and streamlined business adoption.

* **Platform Development:**
  * Enhance Node Dashboard with improved monitoring features and introduce one-click update and deployment options for a seamless user experience.
  * Expose the KNAI API for enterprise use, supporting business integration and expanding the platform’s reach through a SaaS model.
* **Node Development:**
  * Strengthen security for Graph nodes, addressing advanced use cases and privacy requirements for enterprise data.
  * Improve KNAI’s infrastructure interface to support smoother, more efficient interactions and operations across nodes.
  * Streamline node deployment for businesses by adding KNAI nodes to marketplaces such as Azure and DigitalOcean, making the platform more accessible to a wider user base.
  * Introduce a direct interaction option for users via RPC, allowing for secure, efficient node communication and extending the platform’s capabilities.
* **AI Development:**
  * Increase the number of open public graphs in high-demand domains