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Welcome to the Langchain Database Agent! This tool uses Langchain to create a powerful and intelligent agent that can interact with a database, conduct keyword-based searches, and visualize data based on user queries. The tool combines efficient keyword management, similarity search, and graphing capabilities, enabling users to derive meaningful insights from their data seamlessly.
This tool follows a unique approach to querying and visualizing data through the following steps:
Database Setup with Keywords:
The database schema includes a special column, keywords
, in each table. This column holds keywords relevant to the records, aiding in fast similarity searches. Additionally, a separate file saves these keywords along with their embeddings, which represent the semantic meaning of each keyword.
Embedding-Based Similarity Search:
When a user interacts with the agent, they input keywords or phrases relevant to their query. The agent performs a similarity search by comparing these input keywords with stored embeddings. This step allows the agent to find records in the database that closely match the query's intent.
Query Execution and Storage in Intermediary Table:
After identifying relevant keywords and their associated records, the agent performs a database query to retrieve the data. This data is then stored in an intermediary table, which serves as a temporary storage location for easy processing and visualization.
Data Visualization:
Once the data is in the intermediary table, visualization tools process it to generate graphs and other visual representations. Users can quickly interpret the patterns and trends within their queried data, enhancing their decision-making process.
To install this tool, follow these steps:
Clone the Repository:
git clone https://github.com/yourusername/langchain-database-agent.git
cd langchain-database-agent
Install Dependencies: Ensure you have Python installed. Then, install the required packages:
pip install -r requirements.txt
Database Setup:
keywords
column in each relevant table.Configure Settings: See Configuration Options below to adjust paths and database credentials.
Starting the Agent: Launch the Langchain agent to interact with the database:
python agent.py
Interacting with the Agent:
Viewing Results and Visualizations:
python visualize.py
This will display graphs based on the data relevant to your query.
In the configuration file (config.json
), set the following:
Contributions are welcome! If you’d like to enhance this tool or fix an issue, please:
This project is licensed under the MIT License. See the LICENSE file for details.
Enjoy interacting with and visualizing your data through our Langchain Database Agent! If you have questions or suggestions, please feel free to open an issue or contribute.