Fishing Bot
Streamline the shopping experience by providing personalized product recommendations, enabling filter-based search based on relevant questions, and answering queries in real-time.
Streamline the shopping experience by providing personalized product recommendations, enabling filter-based search based on relevant questions, and answering queries in real-time.
Elobrate on sandwich leave policy
what happened why did I change shift before 6 months?
how is leave encashment calculated in the middle of the year?
I consumed alcohol last Friday at the office is it offence?
what if I resigned before the completion of the notice period?
what are total working hrs?
can I leave the company before office hrs?
what if I don't sign a contract agreement?
when to resign from a company?
where to mention about leaves?
Can I take 12 leaves in one shot?
Can I take 15 days of marriage leaves
Can I carry forward my marriage leaves
how many national holidays will be provided?
what if I don't take any leave for a year?
what are accrual and carry-over leaves?
Utilizes cutting-edge Retrieval-Augmented Generation (RAG) technology to enrich responses by pulling relevant data from external sources, improving the chatbot’s accuracy, and enabling more dynamic and contextually rich user interactions.
Employs advanced Large Language Models (LLMs) to understand user needs and recommend tailored products, services, or information by analyzing historical data, user queries, and contextual factors for personalized suggestions
Seamlessly integrates with OpenAI and Cohere APIs to enhance conversational abilities, leveraging their powerful language models for intelligent response generation, contextual understanding, and access to vast knowledge repositories for accurate answers.
Combines advanced NLU and NLG techniques to understand user input and generate responses that mimic natural human conversation, enhancing user engagement through smooth, context-aware, and fluent dialogue exchanges.
Continuously learns from user interactions to adapt its responses and suggestions, providing increasingly personalized experiences over time based on individual preferences, behavior, and feedback for more effective and relevant engagement.
Enables simultaneous interaction with multiple users, handling different user contexts independently, allowing for scalable and efficient conversations, ensuring personalized experiences and maintaining seamless engagement across all user interactions.