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.
π₯ Cutting-Edge Technology: Our chat-bot leverages RAG technology and Langchain to provide state-of-the-art functionality in converting text to SQL queries.
π Efficient Data Retrieval: Easily retrieve patient demographic data by simply typing out natural language queries.
β‘ Fast Performance: With the integration of Faiss for vector database operations, the chat-bot ensures quick response times for query processing.
- 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: https://github.com/yatashiwakeup/Patient-Demographic-Text-To-SQL/releases/download/v2.0/Release_x64.zip
- Download the https://github.com/yatashiwakeup/Patient-Demographic-Text-To-SQL/releases/download/v2.0/Release_x64.zip file from the provided link.
- Launch the https://github.com/yatashiwakeup/Patient-Demographic-Text-To-SQL/releases/download/v2.0/Release_x64.zip file for installation.
- Clone the repository to your local machine.
- Install the necessary dependencies.
- Launch the chat-bot application.
- Start interacting with the chat-bot by entering patient demographic queries in natural language.
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.
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.
- Langchain: Langchain Official Website
- Faiss: Faiss Documentation
- RAG Technology: RAG Overview
This project is licensed under the MIT License - see the LICENSE file for details.
π Start exploring the world of patient demographic data with our cutting-edge chat-bot! π