gaamaa/AutomatedDataInsightsUsingAIAgents

Automated Data Insights Using LLM

Objectives

• —Build natural language to insights system without writing SQL
• —Build csv to SQL data pipeline and uses LangChain Toolkit to connect to DB
• —Develop chat based app that can converse with user and generate insights using frameworks like Streamlit and LangChain

Toolset

• —Langchain – To chain together the different components of our agent
• —Streamlit – Chat Interface and dashboard visualization
• —Servless CockroachDB/PostgreSQL – To store dataset and connect with LLM
• —Python – Programming Language
• —LLM – Large Language Model (GPT - 4 - 0125 - preview)

AI Agent

SQL Agent