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Flowise & Chatbot

Flowise is an low-code platform for building applications powered by large language models (LLMs). It provides a visual drag-and-drop interface where you can connect components (like prompts, memory, APIs, and AI models) into workflows, designed specifically for AI.

What Flowise Does

  • Let's you visually design AI workflows (called "chains" or "agents")

  • Integrates with models from providers like OpenAI, Hugging Face, etc.

  • Supports memory, vector databases, and APIs

How to start the service:

*Settings 🡪 configuration 🡪 components 🡪 enable the flowise toggle*

Launch the Flowise

  • Navigate to the Automation choose the flowise, enter the valid user name and password to launch the flowise

In Flowise:

  • Create a Chatflow

  • Add nodes:

    • Chat Model (e.g., OpenAI)

    • Prompt Template

    • Memory (for conversation history)

  • Connect respective nodes visually

  • Test inside Flowise

Create a Chatflow

  • Click Add new button 🡪 settings icon 🡪 click load chat flow

Add nodes:

  • Connect the OpenAI by updating the credentials name and Api key

  • Join the respective node eg: Buffer memory to Memory, custom MCP tool to Tool

Test Flowise

  • Click the bot to check the Agent response

can build intelligent chatbots that:

  • Answer FAQs

  • Provide customer support

  • Handle conversational workflows

Chatbot:

A chatbot is a that understands user input and responds automatically, like querry related to packs.

  • User sends a message

  • Chatbot processes it (using rules or AI)

  • Generates a response

  • Sends reply back instantly

Use case:

  • Generate the Packs using the Prompt

  • Customize the Querry by using the Prompt