Project Brief

Vision & Purpose

To provide a high-performance, research-validated Retrieval-Augmented Generation (RAG) server for 3GPP technical specifications. The system, named "Telco-DPR MCP Server," integrates with Gemini LLM via the Model Context Protocol (MCP) to deliver accurate, context-aware answers to complex telecommunications queries.

The core innovation is the implementation of Dense Hierarchical Retrieval (DHR), achieving 86.2% Top-10 accuracy and a 4x performance speedup over standard retrieval methods, as validated by the research paper arXiv:2410.19790.

Key Stakeholders

• Telecom Engineers & Researchers: Users who need to query dense 3GPP technical standards for specific information on procedures, parameters, and protocols.
• LLM Application Developers: Developers integrating the Telco-DPR server as a specialized tool for their AI agents or applications.
• Gemini LLM: The primary consumer of the MCP-based tool, using it to answer user prompts related to telecommunications.

Success Metrics

• Accuracy: Maintain or exceed the 86.2% Top-10 retrieval accuracy benchmark from the Telco-DPR research.
• Performance: Achieve and maintain the 4x performance speedup compared to traditional Dense Passage Retrieval (DPR).
• Adoption: Successful integration and usage as a tool by Gemini and other LLM applications.
• Stability: High uptime and low error rates in the production environment.

Project Constraints

• Research Alignment: The implementation must strictly adhere to the methodologies described in the Telco-DPR research paper (arXiv:2410.19790).
• Dependency on Pre-processing: The server's functionality is entirely dependent on the offline data preparation offline service to generate the necessary indices and embeddings.