Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools
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Updated
Oct 5, 2024 - Python
Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools
LangChain SQL BI Assistant for IMDB
This project enables performing SQL queries in natural language using LangChain and Streamlit.
Multi-Agent Tool to Diagnose Errors in Unified Diagnostic Service (UDS) Data with a Flask Front-End
This app is a document-grounded AI chatbot that answers queries from local files(txt and csv)
A SQL agent for e-commerce data, featuring LLM-driven natural language to SQL, semantic table selection, optimal join planning, and multi-step query generation with validation. Supports vector search, statistical sampling, result pagination, caching, real-time simulation, and automated query optimization for seamless and intelligent integration.
The Netflix Insights Chatbot is an AI-powered tool that enables users to explore Netflix's 2023 engagement trends through natural language queries. Built upon a RAG and AI agent pipeline, the app provides insights on movies, tech specs, and engagement trends. Demo below!
SQL-Agent-ChatBot : When user sends a query, the Agent tries to convert the query into SQL query based on the database Schema, and then retrieve the relevant information from the database and give back the relevant information in NLP.
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