🧠 OmniMind AI 🚀

Enterprise Multi-Agent AI Platform | LLM + RAG + Intelligent Document Assistant

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📌 Overview

OmniMind AI is an Enterprise-level AI Assistant platform designed using modern Generative AI technologies.

It combines Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent memory-based conversations to create a powerful AI workspace.

The system allows users to interact with an AI assistant, upload documents, retrieve contextual information, and receive intelligent responses powered by local LLM models.

🚧 This project is currently under active development.
New AI capabilities, agent workflows, UI improvements, and optimizations are continuously being added.

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✨ Features

🤖 AI Conversational Assistant

• Interactive chatbot experience
• Natural language understanding
• Context-aware responses

📚 Retrieval-Augmented Generation (RAG)

• Upload PDF documents
• Extract and process document knowledge
• Semantic search using embeddings
• AI answers based on document context

🧠 Conversation Memory

• Maintains previous interactions
• Provides more personalized responses
• Improves contextual understanding

🦙 Local LLM Integration

• Ollama powered local AI models
• Privacy-focused AI execution
• No dependency on external APIs

⚡ Backend System

• FastAPI-based REST architecture
• Modular API routing
• Scalable service structure

🎨 Frontend Interface

• Streamlit-based AI workspace
• Interactive user interface
• Document upload support

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🛠 Tech Stack

Programming Language

• Python

AI / Machine Learning

• Large Language Models (LLMs)
• Retrieval-Augmented Generation
• NLP
• Embeddings

Frameworks & Libraries

• LangChain
• FastAPI
• Streamlit
• HuggingFace Embeddings

Database / Storage

• ChromaDB
• Vector Database

LLM Runtime

• Ollama

Development Tools

• VS Code
• Git
• GitHub

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🏗 Project Architecture

OmniMind-AI │ ├── backend │ ├── services │ │ ├── chat_service.py │ │ ├── ollama_service.py │ │ └── rag_service.py │ │ │ ├── main.py │ ├── database.py │ └── config.py │ ├── frontend │ └── app.py │ ├── vector_db ├── requirements.txt └── README.md

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🚀 Installation & Setup

Clone the repository

git clone https://github.com/riyagupta1106/OmniMind-AI.git