RAG functionality and use case investigation

Eder Carlos Rai Ramos Rosales
2025-03-10T15:10:40-06:00

# Description

This issue focuses on investigating the functionality and potential applications of Retrieval-Augmented Generation (RAG). The goal is to understand how RAG integrates retrieval techniques with generative models, its use cases, and its advantages compared to traditional methods in NLP tasks such as question answering, document summarization, and knowledge retrieval.

## Additional Information

RAG combines dense passage retrieval with a sequence-to-sequence transformer model to generate more accurate and contextually relevant responses. It is particularly useful when the system needs to handle large datasets or knowledge bases to provide real-time, factually correct information. Understanding RAG's architecture, working mechanism, and implementation is critical for potential integration into current projects.

## Requirements

- Research the fundamental concepts behind RAG.
- Identify key components (e.g., retriever, generator, training data, etc.).
- Analyze the pros and cons of using RAG in different scenarios.
- Consider potential use cases for integration into ongoing or future projects.
- Provide a summary of findings with recommendations.

## Acceptance Criteria

- Detailed documentation of RAG's workflow and architecture.
- A comparison between RAG and other similar technologies (e.g., GPT-based models without retrieval).
- A list of possible use cases where RAG could be beneficial.
- A recommendation on whether or not to pursue further development based on the findings.

## Tasks

* **Analysis**
* [x] Verify related **issues** on similar AI models or retrieval-augmented systems.
* [x] Define the **requirements** that the investigation must meet (e.g., understanding architecture, identifying use cases).
* [x] Establish clear **acceptance criteria** based on the requirements.
* [x] Add essential **labels**.
* [x] Estimate effort.
* **Development**
* [ ] Complete **merge request**.
* **Quality**
* [ ] Conduct manual tests and ensure all results are satisfactory.
* **Completion**
* [ ] Review compliance with **issue** requirements.
* [ ] Review compliance with **merge request** requirements.
* [ ] Merge branch.