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

多语言自然语言数据库查询，支持自动生成 Python、SQL 和图表

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.

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

A dynamic MCP server for local databases and text files with enhanced security and query buffering capabilities

Assignment of Contact Management System using Tkinter GUI Database

🚀 Local Text-to-SQL agent system powered by Ollama. 75%+ accuracy with 7B models, zero API cost, 100% privacy

Ask questions about your business data in plain English, Get automatic SQL queries and visualizations, Receive AI-powered insights and recommendations, No SQL knowledge required

Explore databases like treasure maps with Captain Jack Sparrow and Claude 3.5 Sonnet. 🏴‍☠️

NL2SQL Agent - 基于 AWS Bedrock 和 Strands Agent 的自然语言数据库查询分析系统

A conversational SQL query chatbot built with Streamlit and LangChain, using Groq's Llama3-8b-8192 model to query SQLite (`student.db`) or MySQL databases with natural language, supporting chat history and real-time feedback.