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Synth AI

AI-powered platform that integrates multiple functionalities

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Synth AI

SynthAI

SynthAI is a cutting-edge AI-powered platform that integrates multiple functionalities, including:

  • AI conversational capabilities.
  • Summarization from YouTube transcripts.
  • Retrieval-Augmented Generation (RAG) applications with enhanced self-reflection capabilities, enabling correction of poor-quality retrievals or generations.
  • Integration with Notion, supporting RAG for pages and databases.
  • Dynamic UI generation with real-time data streaming.

Built with Next.js and LangChain, SynthAI demonstrates the power of modern web frameworks and AI tools working seamlessly together.

Features

1. AI Chat

An intelligent chatbot that provides contextual, meaningful, and interactive conversations using advanced AI language models.

2. YouTube Transcript Summarization

Extracts and summarizes key points from YouTube video transcripts, providing concise and accessible insights.

3. RAG Application

Harnesses retrieval-augmented generation (RAG) for advanced search and question-answering capabilities with custom datasets. Includes self-reflection mechanisms for improving retrieval quality and generation accuracy.

4. Notion Integration

Seamlessly integrates with Notion, enabling RAG for pages and databases to streamline workflows and enhance productivity.

5. Dynamic UI with Data Streaming

Generates user interfaces dynamically, featuring real-time data streaming for interactive and responsive visualizations.

Tech Stack

  • Framework: Next.js
  • AI Framework: LangChain
  • Language Model: OpenAI GPT (GPT-4o Mini/Standard)
  • Data Handling: MongoDB / Vector Databases (for RAG)
  • API Integration: Notion API, YouTube Data API (for transcript loading)
  • Styling: Tailwind CSS, Shadcn UI
  • State Management: Langgraph (leveraging graph-based state management)

Installation

  1. Clone the repository:

    git clone https://github.com/ganimalqudhaifi/synthai.git
cd synthai

  2. Install dependencies:

    npm install

  3. Set up environment variables: Create a .env.local file in the root directory and configure the following:

    OPENAI_API_KEY=your_openai_api_key
NOTION_INTEGRATION_TOKEN=your_weather_api_key
MONGODB_ATLAS_URI=your_mongodb_url
MONGODB_ATLAS_DB_NAME=your_mongodb_database_name
MONGODB_ATLAS_COLLECTION_NAME=your_mongodb_collection_name

  4. Run the development server:

    npm run dev

    Open http://localhost:3000 in your browser.

Usage

  1. AI Chat:

    • Engage with the intelligent chatbot directly on the homepage for contextual and interactive conversations.

  2. YouTube Summarization:

    • Provide a YouTube video URL, and the platform will extract and summarize the key points from the transcript.

  3. RAG Application:

    • Upload a custom dataset or connect to external sources, then ask domain-specific questions. The RAG system includes self-reflection to improve the accuracy of retrievals and responses.

  4. Notion Integration:

    • Connect your Notion workspace to perform RAG on pages and databases, enhancing your workflow and productivity.

  5. Dynamic UI with Data Streaming:

    • Visualize real-time data dynamically through an intuitive and responsive user interface.

Contribution

We welcome contributions! To contribute:

  1. Fork the repository.
  2. Create a feature branch: git checkout -b feature-name.
  3. Commit your changes: git commit -m "Add feature".
  4. Push to the branch: git push origin feature-name.
  5. Open a Pull Request.

License

This project is licensed under the MIT License.

Contact

For questions or collaboration, reach out at: