# Introduction Welcome to the official THub documentation. **What is THub?** THub streamlines Generative AI Workflows with Low-Code, Drag-and-Drop Automation, and seamless integration for all data types and Large Language Models **Features:** 🧩 **No Code -Low Code Platform** · Develop production ready GenAI apps at scale with no code-low code platform. 🖱️ **Drag & Drop Features** · Simply drag & drop data loader, LLMs, agents, chains, embedding model etc. to build your custom GenAI app. 🔄 **Automated Data Pipeline** · Build end to end pipeline for structured, semi-structured & Unstructured data all in one platform. 🧬 **Embeddings Unstructured Data** · Use industry best embedding model based on specific use case and data types. 🗄️ **Vector Database** · Use Vector database based on specific requirement from Pinecone, Weaviate, Qdrant etc. to store vector embeddings of unstructured data. 🔗 **Langchain & LlamaIndex Framework** · Develop Gen AI apps using industry leading development framework. 🤖 **Integration with major LLM's** · Use best of LLM's based on specific use case ranging from OpenAI, Gemini, Anthropic, Cohere etc. 💰 **Pay as You use Model** · Pay for what you use to keep your GenAI app cost under control **1. Registering or Logging In: -** · Continue with Google · Continuing with Microsoft **Step 1: - Registering Manually:** a) Visit the official website: b) Scroll down to locate the Registration Form on the homepage. c) Fill in the required details: · First Name · Last Name · Email · Phone Number · Password d) Once all fields are filled, click the Submit button to complete your sign-up, you’ll receive confirmation via email.

Step 2: - Log in to the THub platform using your “Continue with Google” or “Microsoft” credentials by selecting the corresponding option.

**2. Home Page Overview – AI Workspace: -** Once you log in to you’ll land on the AI Workspace Dashboard, which is your central hub to build, manage, and launch AI-powered workflows. The left-hand navigation gives you access to: Ø AI Workspace: Monitor and manage your existing AI apps and workflows. Ø Templates: Kickstart your workflow using ready-made templates designed to save time and effort. Ø Tools: Add functionality using a library of AI and utility nodes. Ø Credentials: Securely store your external API keys, tokens, and login credentials. Ø Variables: Define and manage environment or app-specific variables that make your workflows flexible. Ø API Keys: Generate secure API keys to connect and integrate your TextileTradeBuddy apps with external systems. 1\. Home Page Overview – AI Workspace: - Once you log in to you’ll land on the AI Workspace Dashboard, which is your central hub to build, manage, and launch AI-powered workflows. The left-hand navigation gives you access to: Ø AI Workspace: Monitor and manage your existing AI apps and workflows. Ø Templates: Kickstart your workflow using ready-made templates designed to save time and effort. Ø Tools: Add functionality using a library of AI and utility nodes. Ø Credentials: Securely store your external API keys, tokens, and login credentials. Ø Variables: Define and manage environment or app-specific variables that make your workflows flexible. Ø API Keys: Generate secure API keys to connect and integrate your TextileTradeBuddy apps with external systems.

**3. Working with Credentials:** Credentials allow you to authenticate and integrate external services with your workflows. You can store service-specific credentials securely to avoid hardcoding them into your workflows. **Example: -** How to create the API key a. Click on the OpenAI link

b. Click on settings, in the left side navigation bar click on API Key.

c. Click on the 'Create New Secret Key' button, fill in the required information, and then click the 'Create Secret Key' button.

d. The API key will be generated. Copy the API key.

**Step 1: -** Navigate to the Credentials section to generate new keys.

**Step 2: -** Use Credentials to store and access external API tokens securely within your workflows.

**4. Using Templates:** · Templates offer ready-made app structures to help you get started quickly without building from scratch. · To use one, simply navigate to the "Templates" section, choose a template that fits your use case, and customize it as needed to suit your specific workflow. **Step 1: -** Choose any template and click on that template.

**Step 2: -** Once the template page opens, click the ‘Use Template’ button in the top-right corner, save the template, and then utilize the toolbar at the bottom-right corner to zoom, align, undo/redo actions etc.….

**5. Creating Your First GenAI App: -** The AI Workspace provides an intuitive visual interface to help you design and deploy GenAI applications efficiently. Follow the steps below to create your first application: **Step 1:-** Initiate a New App Click on the “Create workflow” button to start building a new AI-powered workflow.

**Step 2:-** Name and Categorize Your App\ Provide a clear name and choose an appropriate category to help organize and identify your app within the workspace.

**Step 3:-** Add Nodes from the Toolbox\ Use the toolbox on the left panel to drag and drop functional components (nodes) into the canvas. **Key categories include:** · Chat Models – Integrate AI conversation capabilities. · Logic Nodes – Implement decision-making or conditional flows. · Memory, Embeddings, Prompts, Tools, and more – Extend your app's capabilities with modular building blocks.

**Step 4:-** Design the Workflow\ Connect the nodes visually to define the logic and data flow of your application. Simply click and drag from one node to another to establish connections. **Ex 1: - Agentic AI: -** An agentic AI is an intelligent system that can reason, make decisions, and perform tasks using tools or APIs based on user input. **1. Select the modules.**

**Step 5: -** Use Workflow Controls \ Utilize the toolbar at the bottom-right corner to zoom, pan, align, undo/redo actions, and manage the layout of your workflow effectively.

**Step 6: -** Save Your Progress \ Once your workflow is structured, click “Save” to store your GenAI app. You can later return to edit, deploy, or integrate it with other systems. **Step 7:-** Managing AI Nodes In THub, AI Nodes are the building blocks you use to create your GenAI applications. Each node represents a specific function or step in your AI workflow — like getting a user’s input, performing a calculation, calling an API, or generating a response via an LLM (Large Language Model). **Note:** · Nodes = Components or pieces of logic · Managing AI Nodes = Connecting, configuring, and controlling those pieces to build your GenAI app. **What You Can Do While Managing Nodes:** 1\. Add Nodes: Drag and drop a node into your canvas. 2\. Configure Nodes: Click a node to set prompts, conditions, input/output formats, etc. 3\. Connect Nodes: Link one node to another to define flow. 4\. Test Node Output: Preview how each node behaves during execution.

**Step 8: -** Canvas Menu Options in THub The canvas menu in THub provides a set of advanced options that allow users to manage and configure workflows efficiently. These options are accessible from the top-right corner of the workflow editor interface.

**Menu Actions:** **1) API Endpoint:-**\ Allows you to view or copy the API endpoint associated with the current workflow. This endpoint can be used to trigger the workflow externally. • Clicking the API Endpoint button will open the 'Embed in website or use as API' page.

**A. Embed: -** The Embed or API feature in THub enables you to integrate your AI workflows directly into external applications or websites using simple embed scripts or REST API calls. This section provides multiple ways to connect your chatbot (or workflow) to your preferred platform. **Ø Embed Options:** Within the Embed tab, you can choose how your chatbot should be displayed in your application: · Popup HTML – This script embeds the chatbot as a popup widget on any webpage. You can copy and paste the \