Production-ready chatbot suite built with LangFlow for visual pipeline design, supporting text, documents, and structured data with Google AI and Groq.
The Intelligent Multi-modal Chatbot Suite is a production-ready system for building and deploying enterprise chatbots that understand multiple input modalities — plain text, uploaded PDF documents, and structured database data — using a unified LangFlow visual pipeline.
LangFlow's drag-and-drop interface allows rapid prototyping of conversational AI flows without deep coding, while still exposing the underlying Python for customization. Google Studio AI provides powerful reasoning and long-context understanding, while Groq ensures ultra-low-latency responses for user-facing interactions.
The suite includes a REST API server for enterprise integration, enabling deployment as a Slack bot, Teams bot, or website chat widget with minimal configuration.
Installing LangFlow, exploring the component library, and creating first conversational flows.
Adding PDF loaders, database connectors, and structured data parsers as input nodes.
Connecting Google Studio AI (Gemini) and Groq (Llama-3) nodes with proper API key management.
Implementing ConversationBufferMemory and ConversationSummaryMemory for long conversations.
Exporting the LangFlow pipeline as a REST API and adding authentication, rate limiting, and logging.
Building Slack and Teams adapters and a web chat widget using the deployed API.