> For the complete documentation index, see [llms.txt](https://pmse.gitbook.io/pmse-dhdk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pmse.gitbook.io/pmse-dhdk/2.-software-requirement-specification/2.6-requirements-list.md).

# 2.6 Requirements List

These requirements ensure that the application meets its purpose of providing a robust, user-friendly, and efficient knowledge retrieval system tailored to GNA's needs.

## **Functional Requirements**

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><mark style="color:blue;"><strong>FR01</strong></mark><strong> - Conversational AI Interface</strong></td><td><strong>Requirement</strong>: The application must provide an intuitive conversational interface to facilitate user interaction.</td><td>Users should be able to input queries in natural language and receive contextually relevant responses. This interface is the primary interaction point and must support dynamic conversation flows.</td><td><a href="/files/ZJvEEkIt0DZ76MAOpGNO">/files/ZJvEEkIt0DZ76MAOpGNO</a></td></tr><tr><td><mark style="color:blue;"><strong>FR02</strong></mark><strong> - Knowledge Retrieval System</strong></td><td><strong>Requirement</strong>: The system must accurately retrieve knowledge based on user queries using a FAISS-based vector store.</td><td>The vector store must index and retrieve relevant data efficiently, ensuring users receive accurate and context-specific results.</td><td><a href="/files/MgkO45vsdxfBwOJrQEuZ">/files/MgkO45vsdxfBwOJrQEuZ</a></td></tr><tr><td><mark style="color:blue;"><strong>FR03</strong></mark><strong> - Data Processing Pipeline</strong></td><td><strong>Requirement</strong>: The application must include a pipeline for preprocessing, indexing, and embedding knowledge.</td><td>Textual data should be transformed into embeddings for storage in the vector store, ensuring high retrieval accuracy.</td><td><a href="/files/frJMizCJ7Y16rscqmkvN">/files/frJMizCJ7Y16rscqmkvN</a></td></tr><tr><td><mark style="color:blue;"><strong>FR04</strong></mark><strong> - Model Fine-tuning</strong></td><td><strong>Requirement</strong>: The AI language model must be fine-tuned to understand domain-specific terminology and user intent.</td><td>The model should incorporate GNA’s unique knowledge base to deliver precise and relevant responses.</td><td><a href="/files/98vSCKPl04sGRmJx1pmp">/files/98vSCKPl04sGRmJx1pmp</a></td></tr><tr><td><mark style="color:blue;"><strong>FR05</strong></mark><strong> - User Feedback Mechanism</strong></td><td><strong>Requirement</strong>: Provide a feedback system for users to rate the quality of responses.</td><td>User feedback should be collected to improve the system’s accuracy and usability through iterative refinements.</td><td><a href="/files/BFmdM3oJ1QBI1BbEIpfK">/files/BFmdM3oJ1QBI1BbEIpfK</a></td></tr><tr><td><mark style="color:blue;"><strong>FR06</strong></mark><strong> - Multi-turn Sessions</strong></td><td><strong>Requirement</strong>: Support multi-turn conversations that maintain context across multiple queries.</td><td>The system should remember context within a session to provide coherent responses.</td><td><a href="/files/hJsfEunapqxQYFf73kOK">/files/hJsfEunapqxQYFf73kOK</a></td></tr><tr><td><mark style="color:blue;"><strong>FR07</strong></mark><strong> - Integration with External Systems and Cloud Hosting</strong></td><td><strong>Requirement</strong>: Integrate with existing GNA web platform.</td><td>The application must be compatible with GNA’s knowledge management ecosystem to fetch and update information and the GNA web platform has to host the chatbot in its full application deployment.</td><td><a href="/files/5DveHatKXoeOugwrfOQa">/files/5DveHatKXoeOugwrfOQa</a></td></tr></tbody></table>

## **Non-functional Requirements**

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><mark style="color:blue;"><strong>NFR01</strong></mark><strong> - Performance</strong></td><td><strong>Requirement</strong>: The system must provide query responses within 2 seconds for 95% of requests.</td><td>Low latency is critical to maintaining a smooth user experience.</td><td><a href="/files/sWgzRgGyViBhwVoqGKLB">/files/sWgzRgGyViBhwVoqGKLB</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR02</strong></mark><strong> -</strong> <strong>Scalability</strong></td><td><strong>Requirement</strong>: The application must handle concurrent requests from at least 100 users without performance degradation.</td><td>Scalability ensures the system can support a growing user base or increased demand.</td><td><a href="/files/YwwnTDYsmM7AwX3csM4G">/files/YwwnTDYsmM7AwX3csM4G</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR03</strong></mark><strong> -</strong> <strong>Security</strong></td><td><strong>Requirement</strong>: Ensure secure handling of user data and knowledge base information.</td><td>The application must comply with data protection standards and include safeguards against unauthorized access.</td><td><a href="/files/anQSKalwUNygvvLOtcGI">/files/anQSKalwUNygvvLOtcGI</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR01</strong></mark><strong> - Usability</strong></td><td><strong>Requirement</strong>: The interface must be user-friendly and accessible to users.</td><td>The system should provide a seamless experience to users.</td><td><a href="/files/6Fyq5p3u5Pzn0W31kDjm">/files/6Fyq5p3u5Pzn0W31kDjm</a></td></tr><tr><td><mark style="color:blue;"><strong>FR01</strong></mark><strong> - Reliability</strong></td><td><strong>Requirement</strong>: The system must have an uptime of 99.9%.</td><td>High reliability ensures the application is available when users need it.</td><td><a href="/files/jFacsO1ruraghzpccaUv">/files/jFacsO1ruraghzpccaUv</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR04</strong></mark><strong> -</strong> <strong>Maintainability</strong></td><td><strong>Requirement</strong>: The application codebase must be modular and well-documented to support future updates.</td><td>A maintainable design reduces the effort and cost of future enhancements or fixes.</td><td><a href="/files/OrNYY6NCdWwB6JQAXzoU">/files/OrNYY6NCdWwB6JQAXzoU</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR04</strong></mark><strong> - Adaptability</strong></td><td><strong>Requirement</strong>: The system must support updates to the knowledge base and retraining of the AI model without downtime.</td><td>The ability to adapt ensures the application remains relevant as knowledge and requirements evolve.</td><td><a href="/files/A87RlCB8ilKfz7hwC33u">/files/A87RlCB8ilKfz7hwC33u</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR05</strong></mark><strong> - Data Privacy</strong></td><td><strong>Requirement</strong>: The system must anonymize user data and ensure compliance with GDPR or other relevant regulations.</td><td>Protecting user data builds trust and avoids legal risks.</td><td><a href="/files/8uR4ymPmqDTqspG9QZvl">/files/8uR4ymPmqDTqspG9QZvl</a></td></tr><tr><td><mark style="color:blue;"><strong>NFR06</strong></mark><strong> - Auditability</strong></td><td><strong>Requirement</strong>: Maintain detailed logs of system activity for troubleshooting and auditing.</td><td>Logs help identify issues and ensure accountability for system actions.</td><td><a href="/files/mlcJ4IYiW6hZtK061WK6">/files/mlcJ4IYiW6hZtK061WK6</a></td></tr></tbody></table>

### <mark style="color:blue;">**Software Technologies Used**</mark>

1. **Python:** A powerful programming language particularly suited for software development in machine learning contexts.
2. **MistralAi**: Provides embeddings for vector search and generates retrieval-augmented responses.
3. **FAISS**: Efficiently indexes and retrieves chunks of text.
4. **Streamlit**: Creates a web-based interface for interaction.
5. **Pandas**: Manages and processes the dataset.
6. **dotenv**: Loads API keys and configuration from environment variables.
7. **LangChain**: Powers the conversational and retrieval logic.


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