feat: reconfigure blog sidebar

docs/docs/blog/00-surpassing-chatgpt-with-open-source-alternatives.mdx

@@ -1,24 +1,24 @@
 ---
-title: "RAG is not enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B"
+title: 'RAG is not enough: Lessons from Beating GPT-3.5 on Specialized Tasks with Mistral 7B'
-description: "Creating Open Source Alternatives to Outperform ChatGPT"
+description: 'Creating Open Source Alternatives to Outperform ChatGPT'
-slug: /surpassing-chatgpt-with-open-source-alternatives
+slug: /blog/surpassing-chatgpt-with-open-source-alternatives
 tags: [Open Source ChatGPT Alternatives, Outperform ChatGPT]
 authors:
-    -   name: Rex Ha
+  - name: Rex Ha
-        title: LLM Researcher & Content Writer
+    title: LLM Researcher & Content Writer
-        url: https://github.com/hahuyhoang411
+    url: https://github.com/hahuyhoang411
-        image_url: https://avatars.githubusercontent.com/u/64120343?v=4
+    image_url: https://avatars.githubusercontent.com/u/64120343?v=4
-        email: rex@jan.ai
+    email: rex@jan.ai
-    -   name: Nicole Zhu
+  - name: Nicole Zhu
-        title: Co-Founder
+    title: Co-Founder
-        url: https://github.com/0xsage
+    url: https://github.com/0xsage
-        image_url: https://avatars.githubusercontent.com/u/69952136?v=4
+    image_url: https://avatars.githubusercontent.com/u/69952136?v=4
-        email: nicole@jan.ai
+    email: nicole@jan.ai
-    -   name: Alan Dao
+  - name: Alan Dao
-        title: AI Engineer
+    title: AI Engineer
-        url: https://github.com/tikikun
+    url: https://github.com/tikikun
-        image_url: https://avatars.githubusercontent.com/u/22268502?v=4
+    image_url: https://avatars.githubusercontent.com/u/22268502?v=4
-        email: alan@jan.ai
+    email: alan@jan.ai
 ---
 
 ## Abstract
@@ -35,9 +35,9 @@ Problems still arise with catastrophic forgetting in general tasks, commonly obs
 
 ![Mistral vs LLama vs Gemma](assets/mistral-comparasion.png)
 
-*Figure 1. Mistral 7B excels in benchmarks, ranking among the top foundational models.*
+_Figure 1. Mistral 7B excels in benchmarks, ranking among the top foundational models._
 
-*Note: we are not sponsored by the Mistral team. Though many folks in their community do like to run Mistral locally using our desktop client - [Jan](https://jan.ai/).*
+_Note: we are not sponsored by the Mistral team. Though many folks in their community do like to run Mistral locally using our desktop client - [Jan](https://jan.ai/)._
 
 ## Cost-Effectively Improving the Base Model
 
@@ -45,7 +45,7 @@ Mistral alone has known, poor math capabilities, which we needed for our highly
 
 ![Merged model vs finetuned models](assets/stealth-comparasion.png)
 
-*Figure 2: The merged model, Stealth, doubles the mathematical capabilities of its foundational model while retaining the performance in other tasks.*
+_Figure 2: The merged model, Stealth, doubles the mathematical capabilities of its foundational model while retaining the performance in other tasks._
 
 We found merging models is quick and cost-effective, enabling fast adjustments based on the result of each iteration.
 
@@ -71,15 +71,15 @@ With the base model ready, we started on our specific use case.
 
 Jan is an open-source & bootstrapped project - at one point during our unanticipated growth, we received 1 customer support ticket per minute, with no one to handle customer service.
 
-So, we directed our efforts toward training a model to answer user questions based on existing technical documentation.  
+So, we directed our efforts toward training a model to answer user questions based on existing technical documentation.
 
-Specifically, we trained it on Nitro [docs](https://nitro.jan.ai/docs). For context, Nitro is the default inference engine for Jan. It’s a serious server implementation of LlamaCPP, written in C++, with multimodal, queues, and other production-level server capabilities. 
+Specifically, we trained it on Nitro [docs](https://nitro.jan.ai/docs). For context, Nitro is the default inference engine for Jan. It’s a serious server implementation of LlamaCPP, written in C++, with multimodal, queues, and other production-level server capabilities.
 
 It made an interesting corpus because it was rife with post-2023 technical jargon, edge cases, and poor informational layout.
 
 ## Generating a Training Dataset for GPT-4
 
-The first step was to transform Nitro’s unstructured format into a synthetic Q&A dataset designed for [instruction tuning](https://arxiv.org/pdf/2109.01652.pdf). 
+The first step was to transform Nitro’s unstructured format into a synthetic Q&A dataset designed for [instruction tuning](https://arxiv.org/pdf/2109.01652.pdf).
 
 The text was split into chunks of 300-token segments with 30-token overlaps. This helped to avoid a [lost-in-the-middle](https://arxiv.org/abs/2307.03172) problem where LLM can’t use context efficiently to answer given questions.
 
@@ -87,7 +87,7 @@ The chunks were then given to GPT-4 with 8k context length to generate 3800 Q&A
 
 ## Training
 
-The training was done with supervised finetuning (SFT) from the [Hugging Face's alignment handbook](https://github.com/huggingface/alignment-handbook) based on the [Huggingface's Zephyr Beta](https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta) guidelines. 
+The training was done with supervised finetuning (SFT) from the [Hugging Face's alignment handbook](https://github.com/huggingface/alignment-handbook) based on the [Huggingface's Zephyr Beta](https://github.com/huggingface/alignment-handbook/tree/main/recipes/zephyr-7b-beta) guidelines.
 
 We used consumer-grade, dual Nvidia RTX 4090s for the training. The end-to-end training took 18 minutes. We found optimal hyperparameters in LoRA for this specific task to be `r = 256` and `alpha = 512`.
 
@@ -95,7 +95,7 @@ This final model is publicly available at https://huggingface.co/jan-hq/nitro-v1
 
 ![Using LLM locally](assets/nitro-on-jan.png)
 
-*Figure 3. Using the new finetuned model in [Jan](https://jan.ai/)*
+_Figure 3. Using the new finetuned model in [Jan](https://jan.ai/)_
 
 ## Improving Results With Rag
 
@@ -109,18 +109,18 @@ We curated a new set of [50 multiple-choice questions](https://github.com/janhq/
 
 ![Opensource model outperforms GPT](assets/rag-comparasion.png)
 
-*Figure 4. Comparison between fine-tuned model and OpenAI's GPT.*
+_Figure 4. Comparison between fine-tuned model and OpenAI's GPT._
 
 **Results**
 
-| Approach                                  | Performance |
+| Approach                                                                            | Performance |
-| ------------------------------------      | ----------- |
+| ----------------------------------------------------------------------------------- | ----------- |
-| GPT-3.5 with RAG                          | 56.7%       |
+| GPT-3.5 with RAG                                                                    | 56.7%       |
-| GPT-4 with RAG                            | 64.3%       |
+| GPT-4 with RAG                                                                      | 64.3%       |
-| Merged 7B Model ([Stealth 7B](https://huggingface.co/jan-hq/stealth-v1.3)) with RAG   | 47.7%       |
+| Merged 7B Model ([Stealth 7B](https://huggingface.co/jan-hq/stealth-v1.3)) with RAG | 47.7%       |
-| Finetuned 7B Model (Nitro 7B) with RAG                                                | 57.8%        |
+| Finetuned 7B Model (Nitro 7B) with RAG                                              | 57.8%       |
 
-This indicates that with task-specific training, we can improve an open-source, Small Language Model to the level of GPT-3.5 on domain knowledge. 
+This indicates that with task-specific training, we can improve an open-source, Small Language Model to the level of GPT-3.5 on domain knowledge.
 
 Notably, the finetuned with RAG approach also demonstrated more consistency across benchmarking, as indicated by its lower standard deviation.
 
@@ -134,18 +134,18 @@ A full research report with more statistics can be found at https://github.com/j
 
 ## References
 
-[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. *arXiv preprint arXiv:2109.01652*, 2021. URL: https://arxiv.org/abs/2109.01652
+[1] Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le. Finetuned Language Models Are Zero-Shot Learners. _arXiv preprint arXiv:2109.01652_, 2021. URL: https://arxiv.org/abs/2109.01652
 
-[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. *arXiv preprint arXiv:2308.09583*, 2023. URL: https://arxiv.org/abs/2308.09583
+[2] Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. _arXiv preprint arXiv:2308.09583_, 2023. URL: https://arxiv.org/abs/2308.09583
 
-[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. *arXiv preprint arXiv:2308.08747*,2023 URL: https://arxiv.org/abs/2308.08747
+[3] Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. _arXiv preprint arXiv:2308.08747_,2023 URL: https://arxiv.org/abs/2308.08747
 
-[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., *arXiv preprint arXiv:2306.08568*, 2023. URL: https://arxiv.org/abs/2306.08568
+[4] Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang. WizardCoder: Empowering Code Large Language Models with Evol-Instruct., _arXiv preprint arXiv:2306.08568_, 2023. URL: https://arxiv.org/abs/2306.08568
 
 [5] SciPhi-AI, Agent Search. GitHub. URL: https://github.com/SciPhi-AI/agent-search
 
-[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." *arXiv preprint arXiv:2307.03172*, 2023. URL: https://arxiv.org/abs/2307.03172
+[6] Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang. "Lost in the Middle: How Language Models Use Long Contexts." _arXiv preprint arXiv:2307.03172_, 2023. URL: https://arxiv.org/abs/2307.03172
 
-[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. *arXiv preprint arXiv:2308.09583*, 2023. URL: https://arxiv.org/abs/2308.09583
+[7] Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., & Zhang, D. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. _arXiv preprint arXiv:2308.09583_, 2023. URL: https://arxiv.org/abs/2308.09583
 
-[8] nlpxucan et al., WizardLM. GitHub. URL: https://github.com/nlpxucan/WizardLM
+[8] nlpxucan et al., WizardLM. GitHub. URL: https://github.com/nlpxucan/WizardLM

docs/docs/blog/01-january-10-2024-bitdefender-false-positive-flag.mdx

@@ -1,7 +1,7 @@
 ---
 title: "Post Mortem: Bitdefender False Positive Flag"
 description: "10th January 2024, Jan's 0.4.4 Release on Windows triggered Bitdefender to incorrectly flag it as infected with Gen:Variant.Tedy.258323, leading to automatic quarantine warnings on users' computers."
-slug: /postmortems/january-10-2024-bitdefender-false-positive-flag
+slug: /blog/postmortems/january-10-2024-bitdefender-false-positive-flag
 tags: [Postmortem]
 ---
 

docs/docusaurus.config.js

@@ -1,36 +1,36 @@
 // @ts-check
 // Note: type annotations allow type checking and IDEs autocompletion
 
-require("dotenv").config();
+require('dotenv').config()
 
-const darkCodeTheme = require("prism-react-renderer/themes/dracula");
+const darkCodeTheme = require('prism-react-renderer/themes/dracula')
 
 /** @type {import('@docusaurus/types').Config} */
 const config = {
-  title: "Jan",
+  title: 'Jan',
-  tagline: "Run your own AI",
+  tagline: 'Run your own AI',
-  favicon: "img/favicon.ico",
+  favicon: 'img/favicon.ico',
 
   // Set the production url of your site here
-  url: "https://jan.ai",
+  url: 'https://jan.ai',
   // Set the /<baseUrl>/ pathname under which your site is served
   // For GitHub pages deployment, it is often '/<projectName>/'
-  baseUrl: "/",
+  baseUrl: '/',
 
   // GitHub pages deployment config.
   // If you aren't using GitHub pages, you don't need these.
-  organizationName: "janhq", // Usually your GitHub org/user name.
+  organizationName: 'janhq', // Usually your GitHub org/user name.
-  projectName: "jan", // Usually your repo name.
+  projectName: 'jan', // Usually your repo name.
 
-  onBrokenLinks: "warn",
+  onBrokenLinks: 'warn',
-  onBrokenMarkdownLinks: "warn",
+  onBrokenMarkdownLinks: 'warn',
   trailingSlash: true,
   // Even if you don't use internalization, you can use this field to set useful
   // metadata like html lang. For example, if your site is Chinese, you may want
   // to replace "en" with "zh-Hans".
   i18n: {
-    defaultLocale: "en",
+    defaultLocale: 'en',
-    locales: ["en"],
+    locales: ['en'],
   },
 
   markdown: {
@@ -41,37 +41,37 @@ const config = {
 
   // Plugins we added
   plugins: [
-    "docusaurus-plugin-sass",
+    'docusaurus-plugin-sass',
     async function myPlugin(context, options) {
       return {
-        name: "docusaurus-tailwindcss",
+        name: 'docusaurus-tailwindcss',
         configurePostCss(postcssOptions) {
           // Appends TailwindCSS and AutoPrefixer.
-          postcssOptions.plugins.push(require("tailwindcss"));
+          postcssOptions.plugins.push(require('tailwindcss'))
-          postcssOptions.plugins.push(require("autoprefixer"));
+          postcssOptions.plugins.push(require('autoprefixer'))
-          return postcssOptions;
+          return postcssOptions
         },
-      };
+      }
     },
     [
-      "posthog-docusaurus",
+      'posthog-docusaurus',
       {
-        apiKey: process.env.POSTHOG_PROJECT_API_KEY || "XXX",
+        apiKey: process.env.POSTHOG_PROJECT_API_KEY || 'XXX',
-        appUrl: process.env.POSTHOG_APP_URL || "XXX", // optional
+        appUrl: process.env.POSTHOG_APP_URL || 'XXX', // optional
         enableInDevelopment: false, // optional
       },
     ],
     [
-      "@docusaurus/plugin-client-redirects",
+      '@docusaurus/plugin-client-redirects',
       {
         redirects: [
           {
-            from: "/troubleshooting/failed-to-fetch",
+            from: '/troubleshooting/failed-to-fetch',
-            to: "/troubleshooting/somethings-amiss",
+            to: '/troubleshooting/somethings-amiss',
           },
           {
-            from: "/guides/troubleshooting/gpu-not-used/",
+            from: '/guides/troubleshooting/gpu-not-used/',
-            to: "/troubleshooting/gpu-not-used",
+            to: '/troubleshooting/gpu-not-used',
           },
         ],
       },
@@ -81,35 +81,35 @@ const config = {
   // The classic preset will relay each option entry to the respective sub plugin/theme.
   presets: [
     [
-      "@docusaurus/preset-classic",
+      '@docusaurus/preset-classic',
       {
         // Will be passed to @docusaurus/plugin-content-docs (false to disable)
         docs: {
-          routeBasePath: "/",
+          routeBasePath: '/',
-          sidebarPath: require.resolve("./sidebars.js"),
+          sidebarPath: require.resolve('./sidebars.js'),
-          editUrl: "https://github.com/janhq/jan/tree/main/docs",
+          editUrl: 'https://github.com/janhq/jan/tree/main/docs',
           showLastUpdateAuthor: true,
           showLastUpdateTime: true,
         },
         // Will be passed to @docusaurus/plugin-content-sitemap (false to disable)
         sitemap: {
-          changefreq: "daily",
+          changefreq: 'daily',
           priority: 1.0,
-          ignorePatterns: ["/tags/**"],
+          ignorePatterns: ['/tags/**'],
-          filename: "sitemap.xml",
+          filename: 'sitemap.xml',
         },
         // Will be passed to @docusaurus/plugin-content-blog (false to disable)
-        blog: {
+        // blog: {
-          blogSidebarTitle: "All Posts",
+        //  blogSidebarTitle: "All Posts",
-          blogSidebarCount: "ALL",
+        //  blogSidebarCount: "ALL",
-        },
+        // },
         // Will be passed to @docusaurus/theme-classic.
         theme: {
-          customCss: require.resolve("./src/styles/main.scss"),
+          customCss: require.resolve('./src/styles/main.scss'),
         },
         // GTM is always inactive in development and only active in production to avoid polluting the analytics statistics.
         googleTagManager: {
-          containerId: process.env.GTM_ID || "XXX",
+          containerId: process.env.GTM_ID || 'XXX',
         },
         // Will be passed to @docusaurus/plugin-content-pages (false to disable)
         // pages: {},
@@ -117,17 +117,17 @@ const config = {
     ],
     // Redoc preset
     [
-      "redocusaurus",
+      'redocusaurus',
       {
         specs: [
           {
-            spec: "openapi/jan.yaml", // can be local file, url, or parsed json object
+            spec: 'openapi/jan.yaml', // can be local file, url, or parsed json object
-            route: "/api-reference/", // path where to render docs
+            route: '/api-reference/', // path where to render docs
           },
         ],
         theme: {
-          primaryColor: "#1a73e8",
+          primaryColor: '#1a73e8',
-          primaryColorDark: "#1a73e8",
+          primaryColorDark: '#1a73e8',
           options: {
             requiredPropsFirst: true,
             noAutoAuth: true,
@@ -140,10 +140,10 @@ const config = {
 
   // Docs: https://docusaurus.io/docs/api/themes/configuration
   themeConfig: {
-    image: "img/og-image.png",
+    image: 'img/og-image.png',
     // Only for react live
     liveCodeBlock: {
-      playgroundPosition: "bottom",
+      playgroundPosition: 'bottom',
     },
     docs: {
       sidebar: {
@@ -153,89 +153,89 @@ const config = {
     },
     // Algolia Search Configuration
     algolia: {
-      appId: process.env.ALGOLIA_APP_ID || "XXX",
+      appId: process.env.ALGOLIA_APP_ID || 'XXX',
-      apiKey: process.env.ALGOLIA_API_KEY || "XXX",
+      apiKey: process.env.ALGOLIA_API_KEY || 'XXX',
-      indexName: "jan_docs",
+      indexName: 'jan_docs',
       contextualSearch: true,
       insights: true,
     },
     // SEO Docusarus
     metadata: [
       {
-        name: "description",
+        name: 'description',
         content:
-          "Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.",
+          'Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.',
       },
       {
-        name: "keywords",
+        name: 'keywords',
         content:
-          "Jan AI,  Jan, ChatGPT alternative, local AI, private AI, conversational AI, no-subscription fee, large language model ",
+          'Jan AI,  Jan, ChatGPT alternative, local AI, private AI, conversational AI, no-subscription fee, large language model ',
       },
-      { name: "robots", content: "index, follow" },
+      { name: 'robots', content: 'index, follow' },
       {
-        property: "og:title",
+        property: 'og:title',
-        content: "Jan | Open-source ChatGPT Alternative",
+        content: 'Jan | Open-source ChatGPT Alternative',
       },
       {
-        property: "og:description",
+        property: 'og:description',
         content:
-          "Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.",
+          'Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.',
       },
       {
-        property: "og:image",
+        property: 'og:image',
-        content: "https://jan.ai/img/og-image.png",
+        content: 'https://jan.ai/img/og-image.png',
       },
-      { property: "og:type", content: "website" },
+      { property: 'og:type', content: 'website' },
-      { property: "twitter:card", content: "summary_large_image" },
+      { property: 'twitter:card', content: 'summary_large_image' },
-      { property: "twitter:site", content: "@janframework" },
+      { property: 'twitter:site', content: '@janframework' },
       {
-        property: "twitter:title",
+        property: 'twitter:title',
-        content: "Jan | Open-source ChatGPT Alternative",
+        content: 'Jan | Open-source ChatGPT Alternative',
       },
       {
-        property: "twitter:description",
+        property: 'twitter:description',
         content:
-          "Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.",
+          'Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.',
       },
       {
-        property: "twitter:image",
+        property: 'twitter:image',
-        content: "https://jan.ai/img/og-image.png",
+        content: 'https://jan.ai/img/og-image.png',
       },
     ],
     headTags: [
       // Declare a <link> preconnect tag
       {
-        tagName: "link",
+        tagName: 'link',
         attributes: {
-          rel: "preconnect",
+          rel: 'preconnect',
-          href: "https://jan.ai/",
+          href: 'https://jan.ai/',
         },
       },
       // Declare some json-ld structured data
       {
-        tagName: "script",
+        tagName: 'script',
         attributes: {
-          type: "application/ld+json",
+          type: 'application/ld+json',
         },
         innerHTML: JSON.stringify({
-          "@context": "https://schema.org/",
+          '@context': 'https://schema.org/',
-          "@type": "localAI",
+          '@type': 'localAI',
-          name: "Jan",
+          'name': 'Jan',
-          description:
+          'description':
-            "Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.",
+            'Jan runs 100% offline on your computer, utilizes open-source AI models, prioritizes privacy, and is highly customizable.',
-          keywords:
+          'keywords':
-            "Jan AI, Jan, ChatGPT alternative, local AI, private AI, conversational AI, no-subscription fee, large language model ",
+            'Jan AI, Jan, ChatGPT alternative, local AI, private AI, conversational AI, no-subscription fee, large language model ',
-          applicationCategory: "BusinessApplication",
+          'applicationCategory': 'BusinessApplication',
-          operatingSystem: "Multiple",
+          'operatingSystem': 'Multiple',
-          url: "https://jan.ai/",
+          'url': 'https://jan.ai/',
         }),
       },
     ],
     navbar: {
-      title: "Jan",
+      title: 'Jan',
       logo: {
-        alt: "Jan Logo",
+        alt: 'Jan Logo',
-        src: "img/logo.svg",
+        src: 'img/logo.svg',
       },
       items: [
         // Navbar Left
@@ -246,38 +246,38 @@ const config = {
         //   label: "About",
         // },
         {
-          type: "dropdown",
+          type: 'dropdown',
-          label: "About",
+          label: 'About',
-          position: "left",
+          position: 'left',
           items: [
             {
-              type: "doc",
+              type: 'doc',
-              label: "What is Jan?",
+              label: 'What is Jan?',
-              docId: "about/about",
+              docId: 'about/about',
             },
             {
-              type: "doc",
+              type: 'doc',
-              label: "Who we are",
+              label: 'Who we are',
-              docId: "team/team",
+              docId: 'team/team',
             },
             {
-              type: "doc",
+              type: 'doc',
-              label: "Wall of love",
+              label: 'Wall of love',
-              docId: "wall-of-love",
+              docId: 'wall-of-love',
             },
           ],
         },
         {
-          type: "docSidebar",
+          type: 'docSidebar',
-          sidebarId: "productSidebar",
+          sidebarId: 'productSidebar',
-          position: "left",
+          position: 'left',
-          label: "Product",
+          label: 'Product',
         },
         {
-          type: "docSidebar",
+          type: 'docSidebar',
-          sidebarId: "ecosystemSidebar",
+          sidebarId: 'ecosystemSidebar',
-          position: "left",
+          position: 'left',
-          label: "Ecosystem",
+          label: 'Ecosystem',
         },
         // {
         //   type: "docSidebar",
@@ -287,35 +287,36 @@ const config = {
         // },
         // Navbar right
         {
-          type: "dropdown",
+          type: 'dropdown',
-          label: "Docs",
+          label: 'Docs',
-          position: "right",
+          position: 'right',
           items: [
             {
-              type: "docSidebar",
+              type: 'docSidebar',
-              sidebarId: "guidesSidebar",
+              sidebarId: 'guidesSidebar',
-              label: "User Guide",
+              label: 'User Guide',
             },
             {
-              type: "docSidebar",
+              type: 'docSidebar',
-              sidebarId: "developerSidebar",
+              sidebarId: 'developerSidebar',
-              label: "Developer",
+              label: 'Developer',
             },
             {
-              to: "/api-reference",
+              to: '/api-reference',
-              label: "API Reference",
+              label: 'API Reference',
             },
             {
-              type: "docSidebar",
+              type: 'docSidebar',
-              sidebarId: "docsSidebar",
+              sidebarId: 'docsSidebar',
-              label: "Framework",
+              label: 'Framework',
             },
           ],
         },
         {
-          to: "blog",
+          type: 'docSidebar',
-          label: "Blog",
+          sidebarId: 'blogSidebar',
-          position: "right",
+          position: 'right',
+          label: 'Blog',
         },
       ],
     },
@@ -323,21 +324,21 @@ const config = {
       theme: darkCodeTheme,
       darkTheme: darkCodeTheme,
       additionalLanguages: [
-        "python",
+        'python',
-        "powershell",
+        'powershell',
-        "bash",
+        'bash',
-        "json",
+        'json',
-        "javascript",
+        'javascript',
-        "jsx",
+        'jsx',
       ],
     },
     colorMode: {
-      defaultMode: "light",
+      defaultMode: 'light',
       disableSwitch: false,
       respectPrefersColorScheme: false,
     },
   },
-  themes: ["@docusaurus/theme-live-codeblock", "@docusaurus/theme-mermaid"],
+  themes: ['@docusaurus/theme-live-codeblock', '@docusaurus/theme-mermaid'],
-};
+}
 
-module.exports = config;
+module.exports = config

docs/package.json

@@ -18,6 +18,7 @@
     "@docsearch/react": "3",
     "@docusaurus/core": "^3.0.0",
     "@docusaurus/plugin-client-redirects": "^3.0.0",
+    "@docusaurus/plugin-content-blog": "^3.0.0",
     "@docusaurus/plugin-content-docs": "^3.0.0",
     "@docusaurus/preset-classic": "^3.0.0",
     "@docusaurus/theme-live-codeblock": "^3.0.0",

docs/sidebars.js

@@ -15,70 +15,70 @@
 const sidebars = {
   aboutSidebar: [
     {
-      type: "category",
+      type: 'category',
-      label: "What is Jan?",
+      label: 'What is Jan?',
-      link: { type: "doc", id: "about/about" },
+      link: { type: 'doc', id: 'about/about' },
       items: [
         //"about/roadmap",
-        "community/community",
+        'community/community',
       ],
     },
     {
-      type: "category",
+      type: 'category',
-      label: "Who we are",
+      label: 'Who we are',
-      link: { type: "doc", id: "team/team" },
+      link: { type: 'doc', id: 'team/team' },
-      items: ["team/join-us", "team/contributor-program"],
+      items: ['team/join-us', 'team/contributor-program'],
     },
-    "wall-of-love",
+    'wall-of-love',
     {
-      type: "category",
+      type: 'category',
-      label: "How We Work",
+      label: 'How We Work',
-      link: { type: "doc", id: "how-we-work" },
+      link: { type: 'doc', id: 'how-we-work' },
       items: [
-        "how-we-work/strategy/strategy",
+        'how-we-work/strategy/strategy',
-        "how-we-work/project-management/project-management",
+        'how-we-work/project-management/project-management',
         {
-          type: "category",
+          type: 'category',
-          label: "Engineering",
+          label: 'Engineering',
-          link: { type: "doc", id: "how-we-work/engineering/engineering" },
+          link: { type: 'doc', id: 'how-we-work/engineering/engineering' },
           items: [
-            "how-we-work/engineering/ci-cd",
+            'how-we-work/engineering/ci-cd',
-            "how-we-work/engineering/qa",
+            'how-we-work/engineering/qa',
           ],
         },
-        "how-we-work/product-design/product-design",
+        'how-we-work/product-design/product-design',
-        "how-we-work/analytics/analytics",
+        'how-we-work/analytics/analytics',
-        "how-we-work/website-docs/website-docs",
+        'how-we-work/website-docs/website-docs',
       ],
     },
-    "acknowledgements",
+    'acknowledgements',
   ],
   productSidebar: [
     {
-      type: "category",
+      type: 'category',
-      label: "Platforms",
+      label: 'Platforms',
       collapsible: false,
       items: [
-        "platforms/desktop",
+        'platforms/desktop',
-        "server-suite/home-server",
+        'server-suite/home-server',
         // "server-suite/enterprise",
         // "platforms/mobile",
         // "platforms/hub",
       ],
     },
     {
-      type: "category",
+      type: 'category',
       collapsible: true,
       collapsed: false,
-      label: "Features",
+      label: 'Features',
-      link: { type: "doc", id: "features/features" },
+      link: { type: 'doc', id: 'features/features' },
       items: [
-        "features/local",
+        'features/local',
-        "features/remote",
+        'features/remote',
-        "features/api-server",
+        'features/api-server',
-        "features/extensions-framework",
+        'features/extensions-framework',
-        "features/agents-framework",
+        'features/agents-framework',
-        "features/data-security",
+        'features/data-security',
       ],
     },
     // NOTE: Jan Server Suite will be torn out into it's own section in the future
@@ -96,78 +96,84 @@ const sidebars = {
   ],
   solutionSidebar: [
     {
-      type: "category",
+      type: 'category',
-      label: "Use Cases",
+      label: 'Use Cases',
       collapsed: true,
       collapsible: true,
-      items: ["solutions/ai-pc", "solutions/chatgpt-alternative"],
+      items: ['solutions/ai-pc', 'solutions/chatgpt-alternative'],
     },
     {
-      type: "category",
+      type: 'category',
-      label: "Sectors",
+      label: 'Sectors',
       collapsed: true,
       collapsible: true,
       items: [
-        "solutions/finance",
+        'solutions/finance',
-        "solutions/healthcare",
+        'solutions/healthcare',
-        "solutions/legal",
+        'solutions/legal',
-        "solutions/government",
+        'solutions/government',
       ],
     },
     {
-      type: "category",
+      type: 'category',
-      label: "Organization Type",
+      label: 'Organization Type',
       collapsed: true,
       collapsible: true,
       items: [
-        "solutions/developers",
+        'solutions/developers',
-        "solutions/consultants",
+        'solutions/consultants',
-        "solutions/startups",
+        'solutions/startups',
-        "solutions/enterprises",
+        'solutions/enterprises',
       ],
     },
   ],
 
-  pricingSidebar: ["pricing/pricing"],
+  pricingSidebar: ['pricing/pricing'],
   ecosystemSidebar: [
-    "ecosystem/ecosystem",
+    'ecosystem/ecosystem',
     {
-      type: "category",
+      type: 'category',
-      label: "Partners",
+      label: 'Partners',
-      link: { type: "doc", id: "partners/partners" },
+      link: { type: 'doc', id: 'partners/partners' },
       collapsible: true,
-      items: ["partners/become-a-partner"],
+      items: ['partners/become-a-partner'],
     },
     {
-      type: "category",
+      type: 'category',
-      label: "Integrations",
+      label: 'Integrations',
-      link: { type: "doc", id: "integrations" },
+      link: { type: 'doc', id: 'integrations' },
       items: [
         {
-          type: "autogenerated",
+          type: 'autogenerated',
-          dirName: "integrations",
+          dirName: 'integrations',
         },
       ],
     },
   ],
   guidesSidebar: [
     {
-      type: "autogenerated",
+      type: 'autogenerated',
-      dirName: "guides",
+      dirName: 'guides',
     },
   ],
   developerSidebar: [
     {
-      type: "autogenerated",
+      type: 'autogenerated',
-      dirName: "developer",
+      dirName: 'developer',
     },
   ],
   docsSidebar: [
     {
-      type: "autogenerated",
+      type: 'autogenerated',
-      dirName: "docs",
+      dirName: 'docs',
     },
   ],
-};
+  blogSidebar: [
+    {
+      type: 'autogenerated',
+      dirName: 'blog',
+    },
+  ],
+}
 
-module.exports = sidebars;
+module.exports = sidebars