Proyecto TFG FAQs

Question 1

Can Proyecto TFG be scaled for future needs?

Accepted Answer

Yes, Proyecto TFG is designed with scalability in mind. It supports future upgrades to more advanced LLMs, replacement of DuckDB with Apache Iceberg or Trino/Presto, and evolution towards a Retrieval-Augmented Generation (RAG) architecture.

Question 2

How does Proyecto TFG use Model Context Protocol (MCP)?

Accepted Answer

Proyecto TFG strictly adheres to MCP design, ensuring LLMs access data only through designated tools. This separation enhances security, modularity, and traceability.

Question 3

What is Proyecto TFG?

Accepted Answer

Proyecto TFG is a tool that connects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP). It ensures secure and traceable data access by preventing direct LLM database interaction.

Question 4

What is the purpose of the MCP server?

Accepted Answer

The MCP server acts as an intermediary between the LLM client and the data space. It exposes data access tools via REST endpoints, ensuring that the LLM only interacts with data through these secure and controlled pathways.

Question 5

What are the key features of Proyecto TFG?

Accepted Answer

Key features include strict separation of LLM processing and data access, MCP compliance, enriched prompts with contextual data, a modular and traceable architecture, and the use of TinyLlama for natural language queries.

Proyecto TFG

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Proyecto TFG

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