🧠 Smart Research Assistant

An AI-powered research assistant built with Spring Boot and Spring AI. This project allows users to ask research questions and receive intelligent summaries and answers powered by large language models (LLMs).

🚀 Inspired by EmbarkX's tutorial on building LLM-integrated backend services with Spring.

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🛠️ Features

• 🔍 Ask complex research questions via a simple API.
• 🤖 Integrated with LLMs (e.g., OpenAI or HuggingFace models via Spring AI).
• ⚡ Fast and efficient response generation using reactive WebClient.
• 🧰 Modular and extensible architecture (Controller → Service → AI Client).
• 🛡️ Error handling and response formatting.
• 📦 Easy deployment-ready Spring Boot structure.

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🧱 Tech Stack

Layer	Tech
Backend	Spring Boot
AI Integration	Spring AI
HTTP Client	WebClient (Spring WebFlux)
Language Model	Gemini (or configurable alternative)
Build Tool	Maven
Java Version	Java 17+

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🔮 Future Enhancements

• 📚 Citation & Source Linking

  • Add reference links to credible sources like Semantic Scholar or arXiv in the AI response.

• 🗃️ Semantic Search with Vector Store

  • Use embeddings to perform similarity-based search over uploaded documents.

• 🧩 Multi-Model Support

  • Let users choose between OpenAI, local models, or HuggingFace for different use cases.

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Clone the Repository

  git clone https://github.com/your-username/smart-research-assistant.git
  cd smart-research-assistant