SQLLinguist
v3.bf_vector
- AI-Powered, Customized
- AI Assistant SQL Query Automator
- Automate SQL process
The AI-powered solution enables customers to integrate their specialized knowledge with OpenAI models to automate the extraction of relevant information from SQL Database (PostgreSQL, MySQL, DB2, Oracle, SQL Server, SingleStore), effectively training the AI to deliver tailored results as if it were trained on their unique dataset.
You will get Unlock Your Personalized AI Assistant Effortlessly: Scrape, Upload, and Go.
Niklaus Wirth's famous formula, "Algorithms + Data Structures = Programs," has long been a cornerstone in computer science education. This formula leads to the logical conclusion that "Operation + SQL = Enterprise Applications." ERP, CRM, EPM, and other similar systems fundamentally revolve around the manipulation and management of data. They essentially involve techniques to split, combine, and query data from various data sources. In other words, the main backbone is to execute SQL operations on databases. In another word, SQL. Understanding this core principle sheds light on a revolutionary thought: What if advanced AI, like ChatGPT, could handle SQL with remarkable proficiency? Could it redefine the landscape of enterprise applications?
Niklaus Wirth's formula, "Algorithms + Data Structures = Programs," remains relevant, but its application has evolved. In the realm of enterprise applications, the combination of operations and SQL forms the foundation of systems like ERP, CRM, and EPM. However, the rise of AI, exemplified by ChatGPT's capabilities, challenges the traditional approach to these systems. By automating and optimizing SQL queries, AI has the potential to transform how businesses manage and utilize their data, potentially reducing the need for costly enterprise software. This shift underscores the ongoing evolution in the intersection of technology and business, driven by advancements in AI and data processing.
Imagine a scenario where a business user can ask ChatGPT to generate a SQL query to find correlations between seemingly unrelated data points, such as sales data for beer and socks. The AI can generate a precise query, providing insights that would typically require specialized knowledge of the database and SQL. Niklaus Wirth's DSA formula highlights the fundamental role of SQL in enterprise applications. With the advent of AI technologies like ChatGPT, the landscape of these applications is poised for transformation. While traditional ERP and CRM systems will continue to play a vital role, integrating AI could usher in a new era of more agile, flexible, and intelligent enterprise applications.
The question is no longer whether AI will impact enterprise applications, but how businesses will adapt to and embrace this change to stay competitive in the evolving digital landscape. This is why the prototype of this AI SQL Linguist app is important.
OpenAI API
Python
LangChain
Python:
langchain==0.1.17
langchain-chroma==0.1.1
langchain-community==0.0.36
langchain-core==0.1.50
langchain-experimental==0.0.57
langchain-openai==0.1.6
langchain-pinecone==0.1.0
langchain-text-splitters==0.0.1
langcodes==3.4.0
langdetect==1.0.9
langsmith==0.1.53
language_data==1.2.0
Languages==1.0.0
pandas==2.2.2
pandas-profiling==3.2.0
psycopg2-binary
python-dotenv
streamlit
streamlit-camera-input-live==0.2.0
streamlit-card==1.0.0
streamlit-embedcode==0.1.2
streamlit-extras==0.4.2
streamlit-faker==0.0.3
streamlit-image-coordinates==0.1.6
streamlit-keyup==0.2.4
streamlit-pills==0.3.0
streamlit-toggle-switch==1.0.2
streamlit-vertical-slider==2.5.5
pip install -r requirements.txt------------------Video Instruction---------------------
Yourtube
Warning
Website Scraping Policy
This project utilizes scraping techniques to gather data from your SQL Database using standard way (no special security technology applied). It's important to note that don't use this app on sensitve database.
This project is not about SQL Query for illegal purposes. Make sure you have permission before extracting content.
Before using this project
Take the time to carefully read and understand the policies of your organization's database policy.
Comply with Policies
Ensure that you comply with the database policies of each request. Violating these policies could lead to consequences such as account restrictions, IP bans, or legal action.
Note
Disclaimer
This project is provided for general-purpose use, and we do not take responsibility for any consequences resulting from the misuse of techniques. Users are solely responsible for ensuring compliance with policies and any associated risks.
