← Back to all products

RAG Pipeline Framework

$59

Complete retrieval-augmented generation pipeline with document ingestion, chunking strategies, vector store integration, and evaluation.

📁 7 files🏷 v1.0.0
YAMLMarkdownJSONLLM

📁 File Structure 7 files

rag-pipeline-framework/ ├── LICENSE ├── README.md ├── config.example.yaml ├── docs/ │ ├── checklists/ │ │ └── pre-deployment.md │ ├── overview.md │ └── patterns/ │ └── pattern-01-standard.md └── templates/ └── config.yaml

📖 Documentation Preview README excerpt

RAG Pipeline Framework

Complete retrieval-augmented generation pipeline with document ingestion, chunking strategies, vector store integration, and evaluation.

Contents

  • config.example.yaml
  • docs/checklists/pre-deployment.md
  • docs/overview.md
  • docs/patterns/pattern-01-standard.md
  • templates/config.yaml

Quick Start

1. Extract the ZIP archive

2. Review the README and documentation

3. Customize configuration files for your environment

4. Follow the setup guide for your specific use case

Requirements

  • Python 3.10+ (for Python scripts)
  • Relevant CLI tools for your platform
  • Access to your target environment

License

MIT License — see LICENSE file.

Support

Questions or issues? Email megafolder122122@hotmail.com

---

Part of [Ai Llm Toolkit](https://inity13.github.io/ai-builder-pro/)

📄 Code Sample .yaml preview

config.example.yaml # RAG Pipeline Framework — Example Configuration # Copy to config.yaml and customize for your environment project_name: "my-project" environment: "development" # Add your settings below settings: enabled: true log_level: "INFO"
Buy Now — $59 Back to Products