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Github pandasai. Chat with your database or your datalake (SQL, CSV, parquet). Follow their code on GitHub. First, install the required extension: When you ask a question, PandasAI will use the LLM to generate the answer and output a response. PandasAI has 3 repositories available. What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. You can use any LLM, but for this guide we’ll use OpenAI through the LiteLLM extension. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time and effort when working with data. In order to use PandasAI, you need a large language model (LLM). Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to define, process, and analyze your data efficiently. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data. PandasAI can be used in a variety of ways. - Releases · sinaptik-ai/pandas-ai. Oct 16, 2024 · PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. PandasAI makes data analysis conversational using LLMs and RAG. . ) in natural language. PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. uobmqym sekyd oave sas byrcge ykfrtr nfcbfdd lxzhu uqxerbm nixy