-
Bizrag Bot leverages a RAG framework, where it combines a retrieval mechanism (to pull relevant data or documents) with a generative model, providing answers grounded in accurate, business-specific information.
-
This architecture allows it to handle complex queries that require contextual understanding and up-to-date, reliable answers, making it highly suitable for business support, client queries, and decision-making tasks.
-
Information Retrieval: Pulls data from a structured source (like a database) or unstructured documents, ensuring answers are fact-based and relevant.
-
Scalable Knowledge Base: Easily incorporates additional documents, FAQs, or datasets, which makes it adaptable to growing or changing business knowledge.
-
History Management: Keeps track of chat history, Dashboard provides all of previous interactions.
-
User Authentication: Allows authenticated sessions, restricting access to sensitive business information only to verified users.
-
Real-time Querying: Answers questions promptly, suitable for client support or internal team assistance, reducing response time for queries.
npm install
npm run dev
cd backend && python -m venv venv
source venv/Scripts/activate
pip install -r requirements.txt
python app.py
Username: test@bizrag.com Password: 123456