Development

[spyrchat]

This pull request primarily updates project documentation to better reflect the current architecture, features, and usage patterns of the MLOps pipeline for RAG. It also removes the Postgres service from the development Docker Compose setup, signaling a move to Qdrant as the primary database. The documentation now includes comprehensive project structure, advanced usage notes, and improved quick start guidance.

Key changes include:

1. Documentation and Project Structure Enhancements

• Major overhaul of docs/PROJECT_STRUCTURE.md to provide a detailed, up-to-date overview of all project modules, including new directories for benchmarking, scenarios, datasets, logs, and scripts. The structure now reflects recent additions and clarifies the roles of each component. [1] [2] [3] [4]
• Expanded test organization section to describe the new tests/pipeline/ directory, test runner, and types of tests available.

2. Quick Start and Usage Documentation Improvements

• docs/QUICK_START_GUIDE.md now clearly distinguishes between the simplified tutorial and the advanced real project, providing references to setup instructions, CLI usage, and configuration files.
• Added notes on advanced chunking and embedding strategies used in the real pipeline, and replaced the simple CLI implementation example with documentation and usage examples for the project's actual CLI (bin/ingest.py). [1] [2]
• Provided sample batch configuration and adapter types, and included instructions for testing with real datasets and configurations.

3. Dataset Ingestion Documentation Update

• Improved instructions in docs/SOSUM_INGESTION.md for obtaining and organizing the SOSum dataset, clarifying directory structure and download steps.

4. Docker Compose Simplification

• Removed the Postgres service from docker-compose.yml, along with all related environment variables and volumes, reflecting a shift to Qdrant as the sole vector database.

5. Minor Documentation Corrections and Additions

• Updated file and directory references throughout the documentation for consistency with the latest codebase and to avoid confusion for new users. [1] [2] [3] [4] [5] [6] [7] [8]

These changes make the documentation more accurate, user-friendly, and aligned with the project's current state.

[Copilot]

Pull Request Overview

This pull request updates project documentation to align with current architecture and removes the Postgres service from Docker Compose, signaling a transition to Qdrant as the primary database.

• Major documentation overhaul with comprehensive project structure details
• Enhanced quick start guide with actual CLI usage examples and configuration guidance
• Simplified Docker Compose setup by removing Postgres dependency

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
docs/PROJECT_STRUCTURE.md	Comprehensive restructure showing current modules, benchmarking system, and test organization
docs/QUICK_START_GUIDE.md	Major update distinguishing tutorial from real project with CLI examples and configuration samples
docs/SOSUM_INGESTION.md	Improved dataset download instructions with clearer directory structure
docker-compose.yml	Removed Postgres service and related environment variables
README.md	Complete overhaul with modern features, benchmarking capabilities, and production-ready documentation

---

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}

[Copilot]

The instruction to 'cd datasets/' assumes the datasets directory exists. Consider adding a command to create the directory first: 'mkdir -p datasets/' before the 'cd datasets/' command.

Suggested change

	# Clone the SOSum repository into the datasets directory
	# Clone the SOSum repository into the datasets directory
	mkdir -p datasets/

[Copilot]

The path 'datasets/sosum/data' doesn't match the earlier instruction that clones into 'sosum_source'. This should be 'datasets/sosum_source/data' to be consistent with the SOSUM_INGESTION.md instructions.

[Copilot]

The 'git fork' command doesn't exist in standard Git. This should be instructions to fork via GitHub UI or use 'git clone' after forking through the web interface.

Suggested change

	```bash
	git fork https://github.com/your-org/thesis-rag-system
	cd thesis-rag-system
	```
	- Go to [https://github.com/your-org/thesis-rag-system](https://github.com/your-org/thesis-rag-system) and click **Fork** (top right) to create your own copy.
	- Clone your fork (replace `<your-username>` with your GitHub username):
	```bash
	git clone https://github.com/<your-username>/thesis-rag-system.git
	cd thesis-rag-system
	```

[spyrchat]

This pull request focuses on two main areas: removing the PostgreSQL service from the Docker Compose setup, and significantly expanding and updating the project documentation. The documentation now provides a much more comprehensive overview of the project structure, available utilities, benchmarking system, and testing organization. Additionally, the quick start guide has been rewritten to clarify the difference between a simplified tutorial and the advanced features of the actual implementation, and to provide clear instructions for using the real CLI and configuration files.

Infrastructure changes:

• Removed the postgres service and all related environment variables, dependencies, and volumes from docker-compose.yml, leaving only the Qdrant vector database as the primary data store. (docker-compose.yml)

Documentation improvements:

• Expanded docs/PROJECT_STRUCTURE.md to include detailed breakdowns of the agent, embedding, pipelines, CLI tools, benchmarking system, datasets, logs, and test organization. Added new sections for benchmarking scenarios and additional components. [1] [2] [3] [4]
• Updated the quick start guide (docs/QUICK_START_GUIDE.md) to clarify that it is a simplified tutorial, added references to advanced project features, and replaced the sample CLI implementation with instructions for using the actual CLI and configuration files. Also provided notes on advanced chunking and embedding strategies. [1] [2] [3]
• Improved the SOSum dataset ingestion guide (docs/SOSUM_INGESTION.md) with clearer instructions for downloading and organizing the dataset files.