FlowiseAI

Overview of FlowiseAI

FlowiseAI is an open-source, visual tool designed to enable the creation and deployment of LLM (Large Language Model)-powered chatbots. It allows users to connect LLMs with various data sources, customize workflows, and deploy intelligent conversational agents easily. FlowiseAI is well-liked for its intuitive user interface and compatibility with leading LLMs like OpenAI’s GPT, Hugging Face models, and more.

By deploying FlowiseAI on Akash, a decentralized cloud computing platform, you can achieve cost-effective and scalable hosting without relying on centralized cloud providers.

Deploying FlowiseAI on Akash

To deploy FlowiseAI on Akash, follow these steps:

Step 1: Prerequisites

1. Install Akash CLI: Ensure the Akash CLI is installed on your local machine. Consult the Akash CLI installation guide.

2. Create an Akash Wallet: Use the Akash CLI to create a wallet and fund it with AKT tokens.

3. Set Up the FlowiseAI Docker Image: FlowiseAI is distributed as a Docker container. The official image is flowiseai/flowise.

4. Prepare the SDL File: Create a deployment specification (SDL file) to describe your application.

Step 2: Write the SDL File

Below is a sample SDL file for deploying FlowiseAI on Akash:

version: "2.0"

services:
  flowiseai:
    image: flowiseai/flowise:latest
    expose:
      - port: 3000
        as: 80
        to:
          - global: true

profiles:
  compute:
    flowiseai:
      resources:
        cpu:
          units: 0.5
        memory:
          size: 512Mi
        storage:
          size: 1Gi

  placement:
    akash:
      attributes:
        region: us-west
      signedBy:
        anyOf:
          - akash
      pricing:
        flowiseai:
          denom: uakt
          amount: 1000

deployment:
  flowiseai:
    flowiseai:
      profile: flowiseai
      count: 1

Step 3: Deploy the Application

1. Validate the SDL File: Run the following command to validate the SDL file:

   akash tx deployment create <sdl-file-path> --from <wallet-name> --chain-id <chain-id>

2. Check Deployment Status: Use the command below to verify your deployment:

   akash query deployment list --owner <wallet-address>

3. Bid Selection: Select a provider from the available bids list and accept the bid to finalize your deployment:

   akash tx market lease create --from <wallet-name> --chain-id <chain-id> --bid-id <bid-id>

Step 4: Access FlowiseAI

1. After the deployment becomes active, retrieve the access details (e.g., domain or IP address) from the provider’s dashboard or the Akash CLI.

2. Open a browser and navigate to the provided URL to access the FlowiseAI interface.

Step 5: Customize FlowiseAI

1. Configure Workflows: Log in to the FlowiseAI interface to set up LLM workflows and connect data sources.

2. Add Integrations: Integrate with OpenAI, Hugging Face, or other services by configuring API keys in the FlowiseAI dashboard.

3. Deploy Chatbots: Utilize the platform to deploy and test your chatbot in production settings.

Benefits of Deploying FlowiseAI on Akash

• Decentralized Hosting: Minimize reliance on centralized cloud providers.
• Cost Efficiency: Benefit from competitive pricing in the Akash marketplace.
• Scalability: Easily adjust resources based on demand using the Akash platform.

By following this guide, you can quickly deploy FlowiseAI on Akash and start building powerful LLM-powered chatbots.