Merge pull request #90 from g-linville/docs-repo-fix

fix: update repo name in docs

README.md

@@ -53,7 +53,7 @@ We welcome contributions from the developer community! Whether it's adding new f
 
 ## Support
 
-If you encounter any issues or have questions, please file an issue on GitHub. For more detailed guidance and discussions, join our community on [Discord](https://discord.gg/swvAH2DXZH) or [Slack](https://slack.acorn.io) or start a [Github discussion](https://github.com/acorn-io/rubra/discussions).
+If you encounter any issues or have questions, please file an issue on GitHub. For more detailed guidance and discussions, join our community on [Discord](https://discord.gg/swvAH2DXZH) or [Slack](https://slack.acorn.io) or start a [Github discussion](https://github.com/rubra-ai/rubra/discussions).
 
 ---
 

docs/docs/faq.md

@@ -28,7 +28,7 @@ Rubra ships with an optimized LLM and includes built-in tools to get you started
 Rubra runs on your machine. Additionally, your chat history and the files you use for knowledge retrieval (RAG) never leave your machine.
 
 #### Does Rubra support other models?
-Yes, Rubra supports OpenAI and Anthropic models in addition to the Rubra local model or one that [you configure yourself](https://github.com/acorn-io/rubra/tree/main/deploy_local_llm). We are working on introducing larger, more capable local models in the near future.
+Yes, Rubra supports OpenAI and Anthropic models in addition to the Rubra local model or one that [you configure yourself](https://github.com/rubra-ai/rubra/tree/main/deploy_local_llm). We are working on introducing larger, more capable local models in the near future.
 
 #### Why isn't knowledge retrieval working?
 Our RAG pipeline uses an embedding model. If you're running in quickstart mode, the model is running on CPU and could be very slow, depending on machine. If you just created the assistant, it may take a few minutes to index the knowledge base. If you're still having issues, please check the logs for any errors.

docs/docs/installation/deploy_local_llm.md

@@ -7,7 +7,7 @@ sidebar_position: 2
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-To create assistants that run entirely on your machine, you must run a model locally. We recommend the [OpenHermes-NeuralChat merged model](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) that is 7 billion parameters and ~6GB. We have tested Rubra with this model, but you can use any model you want at your own risk. Let us know if you'd like support for other models by [opening up a Github issue](https://github.com/acorn-io/rubra/issues/new)!
+To create assistants that run entirely on your machine, you must run a model locally. We recommend the [OpenHermes-NeuralChat merged model](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) that is 7 billion parameters and ~6GB. We have tested Rubra with this model, but you can use any model you want at your own risk. Let us know if you'd like support for other models by [opening up a Github issue](https://github.com/rubra-ai/rubra/issues/new)!
 
 We leverage [llamafile](https://github.com/Mozilla-Ocho/llamafile) to distribute and run local LLMs.
 

docs/docs/installation/installation.md

@@ -13,15 +13,15 @@ Follow these steps to install Rubra:
 
 1. Clone the Rubra GitHub repository by executing the following command in your terminal:
     ```shell
-    git clone https://github.com/acorn-io/rubra.git
+    git clone https://github.com/rubra-ai/rubra.git
     ```
 
 2. Navigate into the `rubra` directory:
     ```shell
     cd rubra
     ```
 
-3. (Optional) Define the models you want Rubra to access by modifying [`llm-config.yaml`](https://github.com/acorn-io/rubra/blob/main/llm-config.yaml). Refer to [LLM Configuration instructions](/installation/llm-config) for more details. 
+3. (Optional) Define the models you want Rubra to access by modifying [`llm-config.yaml`](https://github.com/rubra-ai/rubra/blob/main/llm-config.yaml). Refer to [LLM Configuration instructions](/installation/llm-config) for more details. 
 Additionally, you can add or remove LLMs in the Rubra UI after installation.
 
 4. Pull the necessary images and start Rubra:
@@ -39,4 +39,4 @@ Develop with Rubra backend by setting the OpenAI base URL to Rubra backend's URL
 from openai import OpenAI
 
 client = OpenAI(base_url="http://localhost:8000/", api_key="abc")
-```
+```

docs/docs/installation/llm-config.md

@@ -5,7 +5,7 @@ sidebar_label: LLM Configuration File (Optional)
 sidebar_position: 3
 ---
 
-Before you start with Rubra, configure the models you want Rubra to access by editing the [`llm-config.yaml`](https://github.com/acorn-io/rubra/blob/main/llm-config.yaml) file.
+Before you start with Rubra, configure the models you want Rubra to access by editing the [`llm-config.yaml`](https://github.com/rubra-ai/rubra/blob/main/llm-config.yaml) file.
 
 The models currently supported:
 * OpenAI

docs/docusaurus.config.js

@@ -34,7 +34,7 @@ const config = {
           sidebarPath: require.resolve("./sidebars.js"),
           routeBasePath: "/",
           editUrl:
-            'https://github.com/acorn-io/rubra/tree/main/docs',
+            'https://github.com/rubra-ai/rubra/tree/main/docs',
         },
         theme: {
           customCss: require.resolve("./src/css/custom.css"),
@@ -72,7 +72,7 @@ const config = {
             target: '_self',
           },
           {
-            to: 'https://github.com/acorn-io/rubra',
+            to: 'https://github.com/rubra-ai/rubra',
             label: 'GitHub',
             position: 'right',
           }

quickstart.sh

@@ -174,14 +174,14 @@ check_rubra_llamafile_ready() {
 
 # --- download docker-compose.yml ---
 download_docker_compose_yml() {
-    DOCKER_COMPOSE_URL="https://raw.githubusercontent.com/acorn-io/rubra/main/docker-compose.yml"
+    DOCKER_COMPOSE_URL="https://raw.githubusercontent.com/rubra-ai/rubra/main/docker-compose.yml"
     info "Downloading docker-compose.yml from $DOCKER_COMPOSE_URL"
     curl -sSL "$DOCKER_COMPOSE_URL" -o docker-compose.yml || fatal "Failed to download docker-compose.yml"
 }
 
 # --- download llm-config.yaml ---
 download_llm_config_yaml() {
-    LLM_CONFIG_URL="https://raw.githubusercontent.com/acorn-io/rubra/main/llm-config.yaml"
+    LLM_CONFIG_URL="https://raw.githubusercontent.com/rubra-ai/rubra/main/llm-config.yaml"
     info "Downloading llm-config.yaml from $LLM_CONFIG_URL"
     curl -sSL "$LLM_CONFIG_URL" -o llm-config.yaml || fatal "Failed to download llm-config.yaml"
 }