Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT

Wireshark-like display filter for various data formats, including Python dictionaries, lists, objects, and SQL databases.

This project seamlessly integrates a web-based interface with advanced AI to enable natural language interactions with a relational database. Utilizing Python, Streamlit for the frontend, and OpenAI for intelligent responses, it connects to a Postgres database for efficient data retrieval and features conversation history saving for easy reference.

Assignment of Contact Management System using Tkinter GUI Database