How to Integrate yFiles with LlamaIndex for Knowledge Graph?

yFiles: Visualizing Knowledge Graphs for Enhanced LLM Development

yFiles, a robust SDK, simplifies the visualization of intricate networks and data relationships. Its integration with LlamaIndex creates a powerful tool for real-time knowledge graph visualization and interaction, significantly enhancing Generative AI applications. This guide details the integration process, key features, and practical demonstrations.

Learning Objectives:

• Understand how knowledge graph visualization empowers LLM development.
• Learn to utilize yFiles for creating intuitive, interactive diagrams that streamline debugging and optimization in AI applications.
• Master the integration of yFiles with LlamaIndex for effective knowledge graph visualization.

(This article is part of the Data Science Blogathon.)

Table of Contents:

• Visualizing Knowledge Graphs for Developers
• Installation
• yFiles Features and Demonstrations
• Conclusion
• Key Takeaways
• Frequently Asked Questions

Visualizing Knowledge Graphs for Developers

Knowledge graphs are essential for building intelligent AI applications, especially those using large language models (LLMs). They facilitate rapid, accurate information retrieval, crucial for generating contextually relevant responses.

A major hurdle for AI developers is visualizing these graphs within their existing technical infrastructure. Many projects use front-end frameworks (React, Angular, Vue) and AI libraries (LlamaIndex, LangChain, Haystack). yFiles solves this by providing a client-side TypeScript SDK that integrates seamlessly, enabling efficient knowledge graph visualization.

yFiles' adaptability allows it to handle data from various sources. Any data can be converted into visual nodes and edges, simplifying integration from multiple pipelines, microservices, or document uploads, providing a unified, interactive view of complex information.

Installation

Detailed installation instructions are available at:

• yWorks Blog – Empowering LLM Development with Visualizing Knowledge Graphs
• GitHub Repository – yfiles-graph-for-create-llama

Obtaining yFiles for HTML:

Obtain a free evaluation package from yWorks:

1. Visit the yWorks Evaluation Portal.
2. Create an account or log in.
3. Download yFiles for HTML.
4. Follow yWorks' instructions to obtain your evaluation license key.

Note: The downloaded files include package.json. The "license" key can be saved in your backend's .env file alongside your OpenAI API key.

Simplified Installation Steps:

1. Clone the Repository: git clone https://github.com/yWorks/yfiles-graph-for-create-llama.git cd yfiles-graph-for-create-llama

2. Install Dependencies: (See GitHub repo for detailed environment setup)

   • Frontend: cd frontend npm install
   • Backend: cd ../backend poetry install

3. Configure .env Files: Create .env files in both frontend and backend directories:

   • Frontend .env: BACKEND_URL=http://localhost:8000
   • Backend .env: OPENAI_API_KEY=your_openai_key_here YFILES_LICENSE=your_yfiles_license_here APP_HOST=0.0.0.0 APP_PORT=8000

4. Run the Project:

   • Backend: cd backend poetry run python main.py
   • Frontend: cd ../frontend npm run dev

   Access the application at http://localhost:3000.

yFiles Features and Demonstrations

1. Dynamic Knowledge Graph Visualization: yFiles dynamically visualizes data from the backend's LlamaIndex-powered knowledge graph. Nodes represent information, and edges show relationships. The layout auto-adjusts for clarity, dynamically expanding to reveal deeper connections.

2. Real-time Graph Updates: The graph updates and highlights active nodes during chatbot queries, providing visual insights into the graph structure.

3. Interactive Node Exploration: Double-clicking a node reveals its neighbors, simplifying exploration of complex networks.

4. Data-driven Coloring and Styling: Use yFiles' API to color nodes by category and highlight important nodes.

5. Automatic Graph Layouts: yFiles offers various layout algorithms (circular, hierarchical, organic) for optimal readability.

The implemented solution integrates a document-based querying system with yFiles, visualizing relationships in a graph structure. Users upload documents; queries generate a real-time knowledge graph, dynamically showing nodes, edges, and relationships. The interface highlights citations and presents answer chunks for traceability.

The application intelligently formulates queries, generates sub-questions, and provides an interactive graph dashboard.

Conclusion

yFiles is a powerful tool for LLM projects using graph data structures. Its visualization capabilities simplify the interpretation of complex relationships, facilitating analysis of large datasets. Integrating yFiles improves data exploration, result clarity, and delivers insightful visualizations for informed decision-making.

Key Takeaways:

1. Seamless knowledge graph integration.
2. Real-time graph updates.
3. Customizable and interactive UI.
4. Optimized for AI applications.
5. Effortless deployment.

(The media in this article is used at the author's discretion.)

Frequently Asked Questions

Q1. What is yFiles and how does it help visualize knowledge graphs? A: yFiles is an SDK simplifying complex network visualization. It creates interactive diagrams with dynamic layouts, node expansion, and real-time updates, ideal for LlamaIndex data.

Q2. How to obtain a yFiles evaluation license? A: Visit the yWorks Evaluation Portal.

Q3. "Failed to fetch knowledge graph info" error? A: Check if the backend is running and the BACKEND_URL in your .env file is correct (http://localhost:8000).

Q4. How to expand nodes dynamically? A: Double-click nodes.

Q5. How to customize node colors and styles? A: Use CSS or the yFiles API.

Q6. Where to find additional resources? A: Consult the yFiles Documentation and the CreateLlama Repository.

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