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ChatBot-CSV

CSV data has been analyzed for Q&A.

OVERVIEW

Robby is an advanced chatbot tool that utilizes powerful language models to facilitate natural language interactions that are tailored to the context. Its primary objective is to assist users in gaining a better understanding of their data. Robby has the capability to support a wide range of file formats, including PDF, TXT, CSV, and YouTube transcripts, with additional formats being added in the near future. Among its various features, Robby-Chat allows users to engage in general data-related conversations using a vector store, which can index up to four relevant sections of a file for generating responses. It also incorporates Conversational Retrieval Chain and will soon introduce data summarization functionality. The beta version of Robby-Sheet is designed specifically for discussing tabular data (CSV) and provides precise information by processing the entire file using Python code. It collaborates with CSV_Agent and PandasAI for data manipulation and graph creation (experimental). Robby-Youtube page is dedicated to summarizing YouTube videos using the summarize-chain feature. Additionally, Robby plans to introduce Robby-Lyrics and Robby-GitHub, which will enable users to analyze lyrics and engage in code-related discussions on GitHub repositories, respectively. In the near future, users will also have the ability to interact with any website they provide through Robby-Website. Robby is continuously being developed and users are encouraged to contribute and enhance its data-awareness. This tool is the result of combining the strengths of Langchain and Streamlit.

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