Welcome to RAG Anything—your all-in-one AI-powered assistant for extracting insights from any source. Whether it's a PDF, Word document, or SQL database, this versatile tool is designed to understand your questions and provide precise, context-rich answers. Ready to be deployed
To Buy the project, please contact [email protected].
- Universal Query Handling: Ask questions about any document or database, and the AI agent will deliver accurate, context-rich responses.
- Dynamic SQL Query Generation: Effortlessly connect to SQL databases. The AI generates and executes SQL queries based on your questions, providing you with the data you need.
- Document Analysis: Retrieve and analyze information from unstructured text sources like PDFs and Word documents, offering comprehensive answers.
- User-Friendly Interface: Built with Streamlit, the application provides an intuitive and interactive user experience, making it accessible to everyone.
- Customizable and Extensible: Easily adapt the system to different domains or integrate with various data sources, enhancing its utility across industries.
- User Interaction: Engage with the AI agent through a simple chat interface.
- Query Routing: The system intelligently determines the best method to answer your question—whether through SQL queries or document analysis.
- Data Retrieval and Analysis:
- For SQL queries, the system connects to a database, generates the query, and retrieves the data.
- For document-based questions, it retrieves relevant information from text sources and uses a language model to generate a response.
- Response Generation: The AI agent provides a detailed answer, including relevant data and sources.
- Business Intelligence: Extract insights from company reports, financial documents, and databases.
- Academic Research: Analyze academic papers, research data, and bibliographies.
- Legal Analysis: Review legal documents, contracts, and case law for relevant information.
- Data-Driven Decision Making: Access and analyze data from various sources to inform strategic decisions.
- Clone the Repository:
git clone https://github.com/yourusername/rag-anything.git - Install Dependencies:
pip install -r requirements.txt - Run the Application:
streamlit run app.py
- Streamlit: For building the user interface.
- OpenAI GPT-4: For context aware response generation.
- FAISS: For efficient similarity search in the vector store.
- SQLAlchemy: For database connectivity and query execution.