Workflows

Discover the world of Bots, Agents, Assistants, Chains ..

Welcome to the Playground ..

SETUP

Please complete the WSL2 + Docker + CUDA and Agents .. then deploy the AI STACK ..

Install and configure WSL2 + Ubuntu 24.04 + Docker + CUDA

WSL & Docker

Deploy the AI STACK:

Ollama + Open WebUI + n8n + FlowiseAI

Workflows

Agno

Agno, previously known as Phidata, is an open-source framework for building agentic systems that allows developers to build, ship, and monitor AI agents with memory, knowledge, tools, and reasoning capabilities. It helps create domain-specific agents, integrate with any LLM, and manage agents' state, memory, and knowledge.

Basic Agent

#agent-basic.py

n8n

N8N is an open-source workflow automation platform that allows users to connect various apps, services, and APIs without requiring coding knowledge. Its visual interface features a node-based editor where users can create automated workflows by dragging, dropping, and connecting nodes that represent different services or actions.

Research Agent - Google SerpAI

Research Agent

FlowiseAI

FlowiseAI is an open-source UI platform designed to simplify the creation and deployment of custom AI workflows. It offers a visual, drag-and-drop interface that allows users to build complex AI applications without extensive coding knowledge.

The platform supports integration with various large language models (LLMs) including OpenAI's GPT series, Anthropic's Claude, and open-source alternatives. FlowiseAI's node-based system enables users to chain together different AI components, data sources, and tools to create sophisticated automation pipelines or chatbots tailored to specific business needs.

Its a neat frontend to LangChain & LangIndex..

Local LLM based Chatbot loaded with features ..

Research Agent with Brave Search API

Research Agent

Personal Assistant - Serp API

PDI Assistant

PDF -> JSON using Mistral:7b

Parsing PDF Invoice

MAS - Software Development Team

Multi Agent

Pt1: KB - Simple RAG

PDF -> Qdrant

Pt1: KB - Simple RAG

Pt2: KB - Flowise Document Store

Pt2: KB - Document Store

Pt3: KB - Multi-RAG Sequential Agents

Pt3: KB - Multi-Agent RAG

Python

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Integrations - Webhooks

Webhooks in Flowise enable real-time communication between chatflows and external systems, triggering actions when specific events occur within your AI applications.

They excel at integrating Flowise with other tools and services. For example, your chatbot can automatically send data to CRM systems, create tickets in support platforms, or send alerts through messaging services like Slack.

Webhooks also support data collection and analytics by sending user interaction data to external systems for monitoring and analysis, helping you improve your chatbot's performance.

A practical example is a customer support chatbot that detects urgent issues and uses webhooks to simultaneously create a support ticket and notify staff via Slack, ensuring timely responses without constant manual monitoring.

Flowise > Google Sheets using Webhooks

#google-sheets

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