Your new favorite Addin
Built for privacy and reliability, Rishi is the best way to write code in RStudio
Your new favorite Addin
Built for privacy and reliability, Rishi is the best way to write code in RStudio
Your new favorite Addin
Built for privacy and reliability, Rishi is the best way to write code in RStudio
In the hands of data scientists and engineers from
In the hands of data scientists and engineers from
In the hands of data scientists and engineers from
Context-aware copilot
Context-aware copilot
Context-aware copilot
No more copying and pasting errors or visualizations into a chat. Rishi can see and control your Console, Environment, and Plots to give you the code suggestions and explanations.
> rishiai:::rishiAddin() ██████╗ ██╗███████╗██╗ ██╗██╗ ██╔══██╗██║██╔════╝██║ ██║██║ ██████╔╝██║███████╗███████║██║ ██╔══██╗██║╚════██║██╔══██║██║ ██║ ██║██║███████║██║ ██║██║ ╚═╝ ╚═╝╚═╝╚══════╝╚═╝ ╚═╝╚═╝ 🚀 Ready to transform your R workflow
> rishiai:::rishiAddin() ██████╗ ██╗███████╗██╗ ██╗██╗ ██╔══██╗██║██╔════╝██║ ██║██║ ██████╔╝██║███████╗███████║██║ ██╔══██╗██║╚════██║██╔══██║██║ ██║ ██║██║███████║██║ ██║██║ ╚═╝ ╚═╝╚═╝╚══════╝╚═╝ ╚═╝╚═╝ 🚀 Ready to transform your R workflow
install.packages("readr") install.packages("ggplot2") install.packages("dplyr") install.packages("DT") install.packages("knitr") install.packages("plotly") install.packages("corrplot") install.packages("tidyr") install.packages("gridExtra")
install.packages("readr") install.packages("ggplot2") install.packages("dplyr") install.packages("DT") install.packages("knitr") install.packages("plotly") install.packages("corrplot") install.packages("tidyr") install.packages("gridExtra")
Knows your project and packages
Knows your project and packages
Knows your project and packages
Never waste time debugging hallucinated functions ever again. Rishi's responses and edits are grounded in your code and R package docs.
Strong privacy
Strong privacy
Strong privacy
By default, your messages, code, and data always remain on your local machine. Rishi does not store any of this information in the cloud, and is in the process of securing Zero Data Retention agreements from all available LLM providers.
# ~/.RISHIprofile — Rishi privacy defaults options( rishi.provider = "local", rishi.api_key_env = "API_KEY", rishi.share = "disabled" ) # Rishi takes security seriously
# ~/.RISHIprofile — Rishi privacy defaults options( rishi.provider = "local", rishi.api_key_env = "API_KEY", rishi.share = "disabled" ) # Rishi takes security seriously
FAQ
How is this different from just using ChatGPT?
ChatGPT and similar tools lack awareness about your R project, data, and visualizations to effectively debug errors and generate working code. In order to effectively work with these chatbots, you must painstakingly copy all this relevant context to/from your IDE with every interaction. Rishi speeds all of this up by delivering the most relevant context from your open Files, Environment, Console, and Plots panes to LLMs along with every message, and is capable of working autonomously with these panes to accomplish any task.
How are data scientists using Rishi today?
Data scientists are using Rishi to quickly ramp up and run exploratory data analyses, debug obscure errors in their console, tidy up visualizations, and get their questions answered about new packages they’ve never used before. Rishi is currently in a closed alpha with a select group of testers, and we’re still uncovering all the potential use cases.
How do I get set up with Rishi?
Integrating Rishi into your R development workflow is as easy as installing an R package and running the Addin in RStudio. Literally, that’s it. For users who recently switched to Positron, we have plans to support that IDE as well.
What models are supported?
BYO API key, optional local models (Ollama/LM Studio), and transparent logs of what (if anything) leaves your machine. No PHI by default.
How private is Rishi?
Very. All of your messages, code, and data remain on your machine only. Rishi does not store any of this information in the cloud. We’re also in the process of securing Zero Data Retention agreements from all available LLM providers in Rishi. If users want, they may also BYOK (Bring Your Own Keys) for all available LLM providers. Finally, as we get more user feedback, we’ll be rolling out connectors for local or in-house models as well.
Is Rishi SOC 2 Type II certified or HIPAA compliant?
Both of these are in progress, but we currently advise against using Rishi with highly sensitive or regulated data until we achieve these certifications.
FAQ
How is this different from ChatGPT?
ChatGPT and similar tools lack awareness about your R project, data, and visualizations to effectively debug errors and generate working code. In order to effectively work with these chatbots, you must painstakingly copy all this relevant context to/from your IDE with every interaction. Rishi speeds all of this up by delivering the most relevant context from your open Files, Environment, Console, and Plots panes to LLMs along with every message, and is capable of working autonomously with these panes to accomplish any task.
How are data scientists using Rishi?
Data scientists are using Rishi to quickly ramp up and run exploratory data analyses, debug obscure errors in their console, tidy up visualizations, and get their questions answered about new packages they’ve never used before. Rishi is currently in a closed alpha with a select group of testers, and we’re still uncovering all the potential use cases.
How do I get set up with Rishi?
Integrating Rishi into your R development workflow is as easy as installing an R package and running the Addin in RStudio. Literally, that’s it. For users who recently switched to Positron, we have plans to support that IDE as well.
What models are supported?
BYO API key, optional local models (Ollama/LM Studio), and transparent logs of what (if anything) leaves your machine. No PHI by default.
How private is Rishi?
Very. All of your messages, code, and data remain on your machine only. Rishi does not store any of this information in the cloud. We’re also in the process of securing Zero Data Retention agreements from all available LLM providers in Rishi. If users want, they may also BYOK (Bring Your Own Keys) for all available LLM providers. Finally, as we get more user feedback, we’ll be rolling out connectors for local or in-house models as well.
SOC 2 Type II or HIPAA compliant?
Both of these are in progress, but we currently advise against using Rishi with highly sensitive or regulated data until we achieve these certifications.
FAQ
How is this different from just using ChatGPT?
ChatGPT and similar tools lack awareness about your R project, data, and visualizations to effectively debug errors and generate working code. In order to effectively work with these chatbots, you must painstakingly copy all this relevant context to/from your IDE with every interaction. Rishi speeds all of this up by delivering the most relevant context from your open Files, Environment, Console, and Plots panes to LLMs along with every message, and is capable of working autonomously with these panes to accomplish any task.
How are data scientists using Rishi today?
Data scientists are using Rishi to quickly ramp up and run exploratory data analyses, debug obscure errors in their console, tidy up visualizations, and get their questions answered about new packages they’ve never used before. Rishi is currently in a closed alpha with a select group of testers, and we’re still uncovering all the potential use cases.
How do I get set up with Rishi?
Integrating Rishi into your R development workflow is as easy as installing an R package and running the Addin in RStudio. Literally, that’s it. For users who recently switched to Positron, we have plans to support that IDE as well.
What models are supported?
Out of the box, we’ll be supporting several of the latest models from OpenAI and Anthropic. We’ll be fast following with support for open source models like GPT-OSS, DeepSeek-R1, and Qwen3, and connectors for in-house models as we get more user feedback.
How private is Rishi?
Very. All of your messages, code, and data remain on your machine only. Rishi does not store any of this information in the cloud. We’re also in the process of securing Zero Data Retention agreements from all available LLM providers in Rishi. If users want, they may also BYOK (Bring Your Own Keys) for all available LLM providers. Finally, as we get more user feedback, we’ll be rolling out connectors for local or in-house models as well.
Is Rishi SOC 2 Type II certified or HIPAA compliant?
Both of these are in progress, but we currently advise against using Rishi with highly sensitive or regulated data until we achieve these certifications.