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Enhance the Beckn-Gemini Bot (Lisa) to preserve the context of conversations across multiple user queries. Currently, Lisa can answer individual queries accurately, but she does not retain context when the user asks a follow-up question. The goal is to make Lisa function like an actual AI agent that understands and remembers prior interactions, improving user experience and making interactions more seamless.
Example:
User's First Message: "Hey Lisa, I want to know about solar energy in detail."
Lisa's Response: Provides relevant information about solar energy.
User's Second Message: "I want to buy it."
Current Issue: Lisa forgets the context and asks, "What do you want to buy?"
Expected Behavior: Lisa should remember the user was inquiring about solar energy and respond appropriately with details about purchasing options.
Goals
Implement chat context preservation in Beckn-Gemini Bot (Lisa) to track and remember conversation history across multiple user queries.
Ensure Lisa can provide seamless responses based on the context of previous messages.
Improve the overall user experience by making Lisa more conversational and context-aware.
Test the enhanced functionality to ensure Lisa handles follow-up questions based on earlier interactions.
Expected Outcome
Lisa will be able to preserve context and remember user requests across multiple queries, functioning like a true AI agent.
Users will experience smoother interactions with Lisa, with relevant and contextually aware responses to follow-up questions.
Acceptance Criteria
Lisa retains the context of previous messages within the same conversation.
Lisa provides context-aware responses to follow-up questions without asking for repeated information.
The context is preserved during multi-step conversations, making the bot more conversational and user-friendly.
The enhancement is tested and verified across various scenarios to ensure proper functionality.
Mockups / Wireframes
NA
Product Name
Beckn-Gemini Bot (Lisa)
Domain
Chatbot / Conversational AI
Tech Skills Needed
Contextual AI Implementation
Chatbot Development
Natural Language Processing (NLP)
State Management in AI
Complexity
High
Category
Bot Enhancement
Sub Category
Conversation Context
Project View
Beckn-Gemini Bot
Project Name
Beckn-Gemini Bot Contextual AI Enhancement
The text was updated successfully, but these errors were encountered:
Description
Enhance the Beckn-Gemini Bot (Lisa) to preserve the context of conversations across multiple user queries. Currently, Lisa can answer individual queries accurately, but she does not retain context when the user asks a follow-up question. The goal is to make Lisa function like an actual AI agent that understands and remembers prior interactions, improving user experience and making interactions more seamless.
Example:
Goals
Expected Outcome
Acceptance Criteria
Mockups / Wireframes
NA
Product Name
Beckn-Gemini Bot (Lisa)
Domain
Chatbot / Conversational AI
Tech Skills Needed
Complexity
High
Category
Bot Enhancement
Sub Category
Conversation Context
Project View
Beckn-Gemini Bot
Project Name
Beckn-Gemini Bot Contextual AI Enhancement
The text was updated successfully, but these errors were encountered: