👋 AI Devs Langflow Competition - Solutions by Imtiaz

Welcome to my repository for the AI Devs Langflow Competition! This competition spans over 5 weeks, with progressively challenging tasks designed to explore cutting-edge AI topics such as Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agents.

🏆 Competition Overview & Repository Structure

The competition consists of three main challenges. My solutions are organized into the following folders:

• Challenge 1: Prompt Engineering
  The solution for this challenge can be found inside the Challenge 1 folder, where prompt engineering techniques are applied to optimize AI responses.

• Challenge 2: Retrieval-Augmented Generation (RAG)
  Explore my RAG implementation inside the Challenge 2 folder, focusing on combining generative AI with external data retrieval.

• Challenge 3: Agents
  My solution for building a Langflow support agent is in the Challenge 3 folder, utilizing GitHub, documentation, and site data to assist users accurately.

• Challenge 4: DecodeBite => The solution for this challenge is in the Challenge 4 folder, featuring a Streamlit application designed to analyze packaged food ingredients. It leverages advanced AI tools like the Together API with Ollama OCR for text extraction, GPT-4o Mini for ingredient categorization, and Multi-Query RAG for answering user queries about food additives, ensuring comprehensive analysis and insights.

Each folder includes a detailed README file, guiding you through the individual files, how to run the solutions, and evaluate the outputs.

🛠️ How to Use

To explore the solutions for each challenge:

1. Clone the repository:

   git clone https://github.com/imtiazx/LangflowHackathon.git
   cd LangflowHackathon

2. Navigate to the challenge folder you're interested in, e.g., for Challenge 1:

   cd "Challenge 1"

3. Follow the instructions in the README file within each challenge folder to run the code or evaluate the solution.