Rachel.ai

Your AI Paralegal Assistant , Revolutionize your legal operations with our open-source AI assistant. Ingest, summarize, question, and analyze thousands of case files with ease.

Document Processing

graph LR
    subgraph "Document Processing"
        A[User Uploads Documents PDF/Word] --> B(LLaMA 3.1 Summarization & Chunking)
        B --> C(BGE-en-small Sentence Embeddings)
        C --> D[ChromaDB Vector Storage]
        D --> E{Organize into Collections Cases}
    end

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Query and Answer

graph LR
    A[User Queries the Database] --> B(BGE-en-small Question Embedding)
    B --> C[ChromaDB Similarity Search]
    C --> D{Retrieve Relevant Chunk}
    D --> E[LLaMA 3.1 Answer Generation with Context]
    E --> F[Precise Answer & Source Reference]

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Setup Process

1. Install Dependencies

   Install the required packages by running:

   pip install -r requirements.txt

2. Backend Setup

   The backend is organized into two subfolders: Gradio and Fastapi.

   • Gradio Folder

     The main server logic resides in the Gradio folder. To start the Gradio server, navigate to the Gradio folder and run:

     python3 app.py

   • FastAPI Folder

     After starting the Gradio server, head to the Fastapi folder. Here, you will start the FastAPI server which provides REST API routes to interact with the Gradio interface. Run the following command:

     uvicorn main:app --reload

3. Frontend Integration

   With both servers running, you can now build a frontend to interact with the HTTP routes provided by the FastAPI server.

Future Work

• Add a frontend template.
• Implement the option to perform Q&A on specific documents.

Hosted Demo

You can try out a hosted demo at rachelai.vercel.app.

Contributions

Contributions are welcome! Feel free to submit issues or pull requests.