Resources and Credits¶
This project was made possible by leveraging the knowledge, tools, and inspiration from the following resources:
1. Prompting with Llama¶
- Source: Llama Documentation - How-to Guides: Prompting
- Description: This guide provided foundational knowledge on crafting effective prompts for AI models.
2. UV Integration with Docker¶
- Source: Astral Documentation - UV Docker Integration
- Description: Helped with setting up UV for managing Python dependencies within a Dockerized environment.
3. Building an End-to-End RAG Application¶
- Source: Medium Article - Building an End-to-End RAG Application Using LangChain
- Description: Inspired the architecture and development of a Resume Analysis Tool using LangChain.
Thank You!¶
Special thanks to the creators and maintainers of these resources for their invaluable contributions to the AI and developer communities. Without these resources, this project would not have been possible.