Summary

FAQs

• Technology Stack

  AI Frameworks: LangChain, LlamaIndex, AutoGen, CrewAI LLM Integration: OpenAI GPT-4, Anthropic Claude, Azure OpenAI Backend: Python, FastAPI, Node.js, Docker Vector Databases: Pinecone, Weaviate, Chroma Monitoring: LangSmith, Weights & Biases, custom telemetry

• Why Choose Agentic AI?

  Unlike traditional automation, these AI agents adapt to new situations, handle edge cases intelligently, and improve their performance over time. They're designed for enterprise-scale reliability with proper error handling, logging, and monitoring.

• Sample Use Cases

  Use Case 1: AI Learning Assistant An AI-powered tutor that helps students revise lessons, take personalized tests, and improve weak areas when teachers aren’t available, providing 24/7 intelligent academic support. Use Case 2: Multilingual Medical Assistant An AI agent that provides patients with disease information in multiple languages using voice, text, and GenAI — improving access to healthcare education and support globally. Use Case 3: Code Compliance Co-Pilot An AI-powered assistant that reviews code files against predefined compliance rules to ensure regulatory standards are met before deployment. Use Case 4: AI Event Planning Co-Pilot An AI agent that helps users plan and manage every aspect of an event, from venue selection to guest invites, and simply through a conversational interface. Use Case 5: Knowledge Management Transforms static documents into chat-like interactive formats using OCR and LLMs, allowing users to ask questions and extract insights in real-time.