Building a chatbot using Streamlit, LangChain, and SQLite
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Updated
Aug 23, 2024 - Python
Building a chatbot using Streamlit, LangChain, and SQLite
A sophisticated, deployable AI Chatbot featuring web search for real-time information, PDF upload for document Q&A and long-term memory
This project allows users to visualize the historical stock prices of multiple stocks interactively in real-time using Streamlit and Plotly. By inputting a list of stock tickers (e.g., PETR4.SA, VALE3.SA, ITUB4.SA), the app fetches data from Yahoo Finance and displays an interactive line chart showing the stock prices over time.
Technical Document Generation and Compliance System
A comprehensive Retrieval-Augmented Generation (RAG) system that can process PDFs, images, and scanned documents to extract and retrieve information from tables, charts, and mixed text-image content.
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