AgentSet allows you to build AI agents that can perform a wide range of tasks, from customer service to workflow automation. Users can define the parameters and functionalities of their agents to fit unique business needs, ensuring they have the perfect tool for their operations. Its intuitive interface is designed for users at all technical levels, making it easy to adapt AI to specific workflows and enhance overall efficiency.

Chat-With-Data is a Python-based tool and web interface built on Streamlit, LangChain, and OpenAI’s GPT API. It automatically parses tabular datasets or database schemas and creates an AI agent that understands natural language queries about your data. Under the hood, it chunks large tables, builds an embedding index for semantic search, and formulates dynamic prompts to generate context-aware responses. Users ask questions like “What are the top 5 sales regions this quarter?” or “Show me a bar chart of revenue by category,” and receive answers or interactive plots without writing SQL or pandas code. The platform runs locally or on a server, ensuring data privacy while accelerating exploratory analysis for both technical and nontechnical users.