feat: Support/Integration for PandasAI #2424

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2025-11-11T15:06:54-06:00

GiteaMirror commented

2025-11-11 15:06:54 -06:00

Originally created by @apexx77 on GitHub (Oct 21, 2024).

Feature Request

Support/Integration for PandasAI

PandasAI is an open-source Python platform that simplifies data analysis by allowing users to ask questions in natural language. It bridges the gap between humans and data, making data exploration accessible to non-technical users and enhancing the efficiency of data analysis for technical users.

Here's a breakdown of PandasAI's key features:

Natural Language Interaction: Users can pose questions about their data in plain English, eliminating the need for complex coding.
Versatile Deployment: PandasAI can be integrated into Jupyter notebooks, Streamlit applications, or deployed as a REST API using frameworks like FastAPI or Flask.
Supported Data Sources: PandasAI can analyze data from various sources, including CSV files, SQL databases, pandas DataFrames, and more.
LLM-Powered: PandasAI leverages the power of Large Language Models (LLMs) like GPT-3.5, GPT-4, Anthropic models, and Vertex AI to understand and respond to user queries.
Privacy-Conscious: PandasAI prioritizes data privacy by randomizing and sampling data before sending it to the LLM, minimizing the risk of exposing sensitive information.
Open Source and Community-Driven: As an open-source project, PandasAI benefits from contributions and continuous improvement from a dedicated community.

It would be beneficial if OpenWebUI has support for PandasAI

Originally created by @apexx77 on GitHub (Oct 21, 2024). # Feature Request ## Support/Integration for [PandasAI](https://github.com/Sinaptik-AI/pandas-ai) PandasAI is an open-source Python platform that simplifies data analysis by allowing users to ask questions in natural language. It bridges the gap between humans and data, making data exploration accessible to non-technical users and enhancing the efficiency of data analysis for technical users. Here's a breakdown of PandasAI's key features: * **Natural Language Interaction:** Users can pose questions about their data in plain English, eliminating the need for complex coding. * **Versatile Deployment:** PandasAI can be integrated into Jupyter notebooks, Streamlit applications, or deployed as a REST API using frameworks like FastAPI or Flask. * **Supported Data Sources:** PandasAI can analyze data from various sources, including CSV files, SQL databases, pandas DataFrames, and more. * **LLM-Powered:** PandasAI leverages the power of Large Language Models (LLMs) like GPT-3.5, GPT-4, Anthropic models, and Vertex AI to understand and respond to user queries. * **Privacy-Conscious:** PandasAI prioritizes data privacy by randomizing and sampling data before sending it to the LLM, minimizing the risk of exposing sensitive information. * **Open Source and Community-Driven:** As an open-source project, PandasAI benefits from contributions and continuous improvement from a dedicated community. It would be beneficial if OpenWebUI has support for PandasAI

GiteaMirror closed this issue

2025-11-11 15:06:54 -06:00

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2026-04-19 19:43:27 -05:00

[GH-ISSUE #2424] feat: Environment variable or json config to set a default System Prompt #12876

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2026-04-25 03:03:11 -05:00

[GH-ISSUE #2424] feat: Environment variable or json config to set a default System Prompt #28404

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2026-05-05 12:36:01 -05:00

[GH-ISSUE #2424] feat: Environment variable or json config to set a default System Prompt #51542

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