Workflows
Discover the world of Bots, Agents, Assistants, Chains ..
Last updated
Discover the world of Bots, Agents, Assistants, Chains ..
Last updated
Visual workflow builders like Flowise, n8n, Agnos, and Voiceflow gain powerful capabilities when connected to integration platforms such as Make.com and Zapier. These integrations expand functionality beyond standalone AI operations by connecting LLM workflows with enterprise systems and data sources.
By integrating with automation platforms, these tools can trigger AI workflows based on external events (email receipts, form submissions, database updates) and push AI-generated outputs to where they create value (CRMs, email platforms, knowledge bases). This bi-directional flow transforms isolated AI capabilities into components of broader business processes.
Common use cases include enhancing customer support workflows by connecting chatbots to ticketing systems, automating content workflows by linking generation tools to publishing platforms, and enriching sales processes by connecting lead qualification AI to CRM systems. These integrations also enable operational intelligence by allowing AI analysis of business data with results flowing directly to decision-makers through existing channels.
For businesses, these integration capabilities mean faster implementation, reduced development costs, and the ability to experiment with AI applications without disrupting existing workflows – allowing gradual adoption that builds on proven value.
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.
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.
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..
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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.
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Local LLM based Chatbot loaded with features ..
Personal Assistant - Serp API
Flowise > Google Sheets using Webhooks
Basic Agent
Research Agent - Google SerpAI
Research Agent with Brave Search API
PDF -> JSON using Mistral:7b
MAS - Software Development Team
Pt1: KB - Simple RAG
PDF -> Qdrant
Pt2: KB - Flowise Document Store
Pt3: KB - Multi-RAG Sequential Agents