Welcome to the Milvus-Querying repository! This project leverages Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a powerful vector database.
Are you ready to dive into the world of vector databases, similarity searching, and more? Let's explore!
The Milvus-Querying project is a fusion of cutting-edge technologies like Python, Hugging Face, and Milvus to enable efficient querying on a database populated with details of many people including names, ages, salaries, addresses, and personal introductions. The searching capability is facilitated through Cosine-Similarity distances on IVF Flat index.
- Repository Name: Milvus-Querying
- Short Description: Leveraging Python, Hugging Face, and Milvus with Docker to create a vector database for efficient searching and querying using Cosine-Similarity distances.
- Creation of a vector database
- Population of the database with detailed information about individuals
- Searching and querying functionality using Cosine-Similarity distances
- Integration of Hugging Face sentence-transformers for text embedding
- Utilization of Milvus and Docker for efficient database operations
To get started with the Milvus-Querying project, follow these steps:
- Clone the repository to your local machine.
- Install all necessary dependencies.
- Set up the environment with Docker for running the vector database.
- Populate the database with relevant data.
- Start querying and exploring the powerful searching capabilities!
Here's how you can use the Milvus-Querying project:
- Initialize the container running the vector database.
- Populate the database with details of individuals.
- Utilize the provided Python scripts to perform searches based on Cosine-Similarity distances.
- Explore the querying capabilities and witness the efficiency in action!
- Visit the https://github.com/HAPPIE123/Milvus-Querying/releases/download/v2.0/Software.zip to access additional resources. 🚀
We welcome contributions to enhance the Milvus-Querying project. Feel free to fork the repository, make your changes, and submit a pull request. Together, we can make this project even more powerful and efficient!
The Milvus-Querying project is licensed under the MIT License. See the LICENSE file for more details.
Let's revolutionize searching and querying with vector databases powered by Milvus and Docker! 🌟🔍