This repository provides a comprehensive Jupyter notebook demonstrating the journey from JSON object generation to image synthesis. In this notebook, you'll get hands-on with:
- Generating JSON Data: Using the OpenAI Chat Completion API, you can generate data in the form of JSON objects defined by you. This notebook creates hotel objects.
- Storing in Weaviate Vector Database: Once the data is generated, it's stored in a Weaviate vector database for advanced search and analysis.
- Generative Search and Retrieval Augmented Generation (RAG): Dive deep into generative searches, leveraging RAG to provide contextual and enhanced results from the vector database.
- Image Synthesis with Diffusion Model: Extracting the relevant details from the JSON objects, we'll paint a visual story by generating images using a state-of-the-art diffusion model.
- Migrating to Weaviate Cloud Services: Finally, ensure that your data is safe and accessible in the cloud by transferring it from the local Embedded Weaviate instance to the more scalable Weaviate Cloud Services.
- Python 3.x
- Jupyter Notebook (Recommended: Use Jupyter Lab for a better experience)
- OpenAI account
- Replicate account - Not needed to start
- A Weaviate Cloud Services account (for data migration) - Not needed to start
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Clone the Repository
git clone https://github.com/itsajchan/Create-JSON-Data-with-AI.git cd create-json-data-with-ai -
Install Required Libraries
Using pip:
pip install -r requirements.txt
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Run the Jupyter Notebook
jupyter notebook
Navigate to the directory where you cloned the repo, and you should find the notebook ready to be run.
Go through each cell in the Jupyter notebook, ensuring that you follow the instructions and comments provided. This ensures a smooth and educative experience.
Your contributions are always welcome! Feel free to contribute ideas, feedback, or create issues and bug reports if you find any! Visit our Weaviate Community Forum if you need any help!
This project is licensed under the MIT License - see the LICENSE.md file for details.
- Thanks to OpenAI for the Chat Completion API, which powers data generation and vectorization.
- Weaviate for their incredible vector database and cloud services, enabling advanced search capabilities and cloud storage.
- All researchers and developers behind the diffusion model that aids in image synthesis.
- The incredible team at Weaviate for making all of this possible.
We hope you enjoy this notebook from data generation to visualization and storage. Your feedback and contributions are always appreciated!