RAG Implementation: 4-Wk Proof of Concept

This 4-week Proof of Concept (PoC) leverages Azure technologies to create a robust Retrieval-Augmented Generation (RAG) based chat solution. Integrate your data into an AI system for insightful interactions via a custom chat interface.

Azure Technologies Used:

1. Azure Open AI (LLM): For natural language understanding and generation.
2. Azure AI Search: For storing embeddings and enhancing search.
3. Azure App Service: To run the chat application.
4. Azure Cosmos DB: For storing conversation data.

Key Features:

• Data Integration: Ingest one data source into the AI system.
• SSO Integration: Secure chat with Single Sign-On via Azure Entra.
• Logs & Stats: Track conversations and feedback.
• Data Privacy: Ensure privacy with PII masking in logs.
• Private GPT Instance: Host GPT on your Azure tenant.
• Custom Chat Interface: Develop a bespoke chat interface.

4-Week Activity Plan:

Week 1: Project Setup

• Business Understanding: Understand business needs and objectives.
• Data Assessment: Review existing data landscape for integration.

Week 2: Development

• Data Ingestion: Integrate the chosen data source.
• Embedding Strategy: Implement optimal embedding and search strategies.
• Accuracy Measurement: Validate response accuracy against a "golden dataset" provided by the customer.

Week 3: Interface & SSO

• Continue Accuracy Measurement
• Interface Development: Create a custom chat interface.
• SSO Integration: Implement secure SSO authentication.

Week 4: Azure Deployment

• Deployment: Deploy the solution on Azure.
• Testing & Finalization: Test thoroughly and ensure performance standards are met.

Deliverables:

1. Fully functional RAG-based chat application.
2. Integrated data source.
3. Secure SSO and data privacy measures.
4. Chat history.
5. Custom chat interface.