Smart Developer Assistant - RAG.AI Project Overview
"Explore the innovative RAG.AI Agent internship project by Fenil Nasriwala from U.V. Patel College of Engineering. This smart assistant merges document retrieval with AI response generation to aid developers in accessing technical information efficiently, reducing cognitive load. Discover its objectives, system design, key features, implementation details, and testing processes. Witness the modular architecture, natural language query interpretation, and dynamic user experience through screenshots and UI flow. Get insights into the future scope and acknowledgements of this cutting-edge project."
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Presentation Transcript
RAG AI Agent Internship Project By Fenil Nasriwala | 21012021052 | U.V. Patel College of Engineering | BEE Robokids Pvt Ltd Photo by Pexels
01 Introduction & Background Table of Contents 02 Project Objectives 03 System Design Overview 04 Key Features 05 Implementation 06 Testing & Validation 07 Screenshots & UI Flow 08 Conclusion 09 Future Scope 10 Acknowledgements 11 Title Slide
1 Introduction & Background What is RAG AI Agent? RAG AI Agent is a smart assistant that combines document retrieval with AI response generation for developer support. Addresses inefficiencies in navigating technical documentation and reduces cognitive load for developers.undefinedundefined
2 Project Objectives Goals and Outcomes Automatically indexes and retrieves relevant technical documents. Provides context-aware answers using conversational AI.undefinedundefined
3 System Design Overview Architecture and Tech Stack Modular design separating core functionalities like document retrieval and response generation. Built using Next.js, ElizaOS, OpenAI, Groq, and React.js.undefinedundefined
4 Key Features Functional Highlights Interprets natural language queries and matches them with relevant documents. Responsive interface for developer queries with multi-turn memory support.undefinedundefined
5 Implementation Development Details Built with ElizaOS and Node.js, featuring plugin-based architecture. Created using React.js and Next.js for a dynamic user experience.undefinedundefined
6 Testing & Validation Ensuring Reliability Used Vitest for unit testing and functional validation. Performed integration testing, performance monitoring, and user acceptance testing.undefinedundefined
7 Screenshots & UI Flow Visual Demonstration Features real-time interaction with syntax highlighting and example prompts. Intuitive navigation and contextually accurate responses enhance UX.undefinedundefined
8 Conclusion Project Wrap-up Improved documentation access, enhanced developer productivity, and reduced troubleshooting time. Hands-on experience with RAG pipelines, AI integration, and full-stack development.undefinedundefined
9 Future Scope What s Next? Includes code snippet generation, IDE integration, and personalized documentation suggestions. Potential for broader framework support and multilingual documentation handling.undefinedundefined
10 Acknowledgements Gratitude and Support Special thanks to Prof. Ritesh Upadhyay and Prof. Ravi Raval for their guidance and encouragement. Grateful to BEE Robokids Pvt Ltd and Ganpat University for the opportunity and support.undefinedundefined
11 Title Slide Fenil Nasriwala | 21012021052 | U.V. Patel College of Engineering | BEE Robokids Pvt Ltd Internship Project Report Presentationundefinedundefinedundefined
