feat(misc): embeddings script and list sources in ai response (#18455)

.github/workflows/generate-embeddings.yml

@@ -0,0 +1,53 @@
+name: Generate embeddings
+
+on:
+  schedule:
+    - cron: "0 5 * * 0,4" # sunday, thursday 5AM
+  workflow_dispatch:
+jobs:
+  cache-and-install:
+    if: github.repository == 'nrwl/nx'
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        node-version: [18]
+        
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+
+      - name: Install Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v2
+        id: pnpm-install
+        with:
+          version: 7
+          run_install: false
+
+      - name: Get pnpm store directory
+        id: pnpm-cache
+        shell: bash
+        run: |
+          echo "STORE_PATH=$(pnpm store path)" >> $GITHUB_OUTPUT
+
+      - name: Setup pnpm cache
+        uses: actions/cache@v3
+        with:
+          path: ${{ steps.pnpm-cache.outputs.STORE_PATH }}
+          key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-store-
+
+      - name: Install dependencies
+        run: pnpm install --no-frozen-lockfile
+
+      - name: Run embeddings script
+        run: pnpm exec nx run tools-documentation-create-embeddings:run-node 
+        env:
+            NX_NEXT_PUBLIC_SUPABASE_URL: ${{ secrets.NX_NEXT_PUBLIC_SUPABASE_URL }}
+            NX_SUPABASE_SERVICE_ROLE_KEY: ${{ secrets.NX_SUPABASE_SERVICE_ROLE_KEY }}
+            NX_OPENAI_KEY: ${{ secrets.NX_OPENAI_KEY }}

nx-dev/data-access-ai/src/lib/data-access-ai.ts

@@ -11,7 +11,13 @@ import {
   ChatCompletionRequestMessageRoleEnum,
   CreateCompletionResponseUsage,
 } from 'openai';
-import { getMessageFromResponse, sanitizeLinksInResponse } from './utils';
+import {
+  PageSection,
+  getListOfSources,
+  getMessageFromResponse,
+  sanitizeLinksInResponse,
+  toMarkdownList,
+} from './utils';
 
 const openAiKey = process.env['NX_OPENAI_KEY'];
 const supabaseUrl = process.env['NX_NEXT_PUBLIC_SUPABASE_URL'];
@@ -21,9 +27,12 @@ const config = new Configuration({
 });
 const openai = new OpenAIApi(config);
 
-export async function nxDevDataAccessAi(
-  query: string
-): Promise<{ textResponse: string; usage?: CreateCompletionResponseUsage }> {
+export async function nxDevDataAccessAi(query: string): Promise<{
+  textResponse: string;
+  usage?: CreateCompletionResponseUsage;
+  sources: { heading: string; url: string }[];
+  sourcesMarkdown: string;
+}> {
   try {
     if (!openAiKey) {
       throw new ApplicationError('Missing environment variable NX_OPENAI_KEY');
@@ -80,11 +89,11 @@ export async function nxDevDataAccessAi(
     }: CreateEmbeddingResponse = embeddingResponse.data;
 
     const { error: matchError, data: pageSections } = await supabaseClient.rpc(
-      'match_page_sections',
+      'match_page_sections_2',
       {
         embedding,
         match_threshold: 0.78,
-        match_count: 10,
+        match_count: 15,
         min_content_length: 50,
       }
     );
@@ -97,13 +106,13 @@ export async function nxDevDataAccessAi(
     let tokenCount = 0;
     let contextText = '';
 
-    for (let i = 0; i < pageSections.length; i++) {
-      const pageSection = pageSections[i];
+    for (let i = 0; i < (pageSections as PageSection[]).length; i++) {
+      const pageSection: PageSection = pageSections[i];
       const content = pageSection.content;
       const encoded = tokenizer.encode(content);
       tokenCount += encoded.text.length;
 
-      if (tokenCount >= 1500) {
+      if (tokenCount >= 2500) {
         break;
       }
 
@@ -163,9 +172,13 @@ export async function nxDevDataAccessAi(
 
     const responseWithoutBadLinks = await sanitizeLinksInResponse(message);
 
+    const sources = getListOfSources(pageSections);
+
     return {
       textResponse: responseWithoutBadLinks,
       usage: response.data.usage,
+      sources,
+      sourcesMarkdown: toMarkdownList(sources),
     };
   } catch (err: unknown) {
     if (err instanceof UserError) {

nx-dev/data-access-ai/src/lib/utils.ts

@@ -1,4 +1,13 @@
 import { CreateChatCompletionResponse } from 'openai';
+export interface PageSection {
+  id: number;
+  page_id: number;
+  content: string;
+  heading: string;
+  similarity: number;
+  slug: string;
+  url_partial: string | null;
+}
 
 export function getMessageFromResponse(
   response: CreateChatCompletionResponse
@@ -11,6 +20,34 @@ export function getMessageFromResponse(
   return response.choices[0].message?.content ?? '';
 }
 
+export function getListOfSources(
+  pageSections: PageSection[]
+): { heading: string; url: string }[] {
+  const uniqueUrlPartials = new Set<string | null>();
+  const result = pageSections
+    .filter((section) => {
+      if (section.url_partial && !uniqueUrlPartials.has(section.url_partial)) {
+        uniqueUrlPartials.add(section.url_partial);
+        return true;
+      }
+      return false;
+    })
+    .map((section) => ({
+      heading: section.heading,
+      url: `https://nx.dev${section.url_partial}`,
+    }));
+
+  return result;
+}
+
+export function toMarkdownList(
+  sections: { heading: string; url: string }[]
+): string {
+  return sections
+    .map((section) => `- [${section.heading}](${section.url})`)
+    .join('\n');
+}
+
 export async function sanitizeLinksInResponse(
   response: string
 ): Promise<string> {

nx-dev/feature-ai/src/lib/feature-ai.tsx

@@ -11,6 +11,7 @@ export function FeatureAi(): JSX.Element {
   const [query, setSearchTerm] = useState('');
   const [loading, setLoading] = useState(false);
   const [feedbackSent, setFeedbackSent] = useState<boolean>(false);
+  const [sources, setSources] = useState('');
 
   const warning = `
   {% callout type="warning" title="Always double check!" %}
@@ -23,19 +24,33 @@ export function FeatureAi(): JSX.Element {
     setLoading(true);
     let completeText = '';
     let usage;
+    let sourcesMarkdown = '';
     try {
       const aiResponse = await nxDevDataAccessAi(query);
       completeText = aiResponse.textResponse;
       usage = aiResponse.usage;
+      setSources(
+        JSON.stringify(aiResponse.sources?.map((source) => source.url))
+      );
+      sourcesMarkdown = aiResponse.sourcesMarkdown;
       setLoading(false);
     } catch (error) {
       setError(error as any);
       setLoading(false);
     }
-    sendCustomEvent('ai_query', 'ai', 'query', undefined, { query, ...usage });
+    sendCustomEvent('ai_query', 'ai', 'query', undefined, {
+      query,
+      ...usage,
+    });
     setFeedbackSent(false);
+
+    const sourcesMd = `
+  {% callout type="info" title="Sources" %}
+  ${sourcesMarkdown}
+  {% /callout %}`;
+
     setFinalResult(
-      renderMarkdown(warning + completeText, { filePath: '' }).node
+      renderMarkdown(warning + completeText + sourcesMd, { filePath: '' }).node
     );
   };
 
@@ -44,6 +59,7 @@ export function FeatureAi(): JSX.Element {
       sendCustomEvent('ai_feedback', 'ai', type, undefined, {
         query,
         result: finalResult,
+        sources,
       });
       setFeedbackSent(true);
     } catch (error) {

package.json

@@ -175,6 +175,7 @@
     "flat": "^5.0.2",
     "fork-ts-checker-webpack-plugin": "7.2.13",
     "fs-extra": "^11.1.0",
+    "github-slugger": "^2.0.0",
     "gpt3-tokenizer": "^1.1.5",
     "html-webpack-plugin": "5.5.0",
     "http-server": "14.1.0",
@@ -191,6 +192,7 @@
     "jest": "29.4.3",
     "jest-config": "^29.4.1",
     "jest-environment-jsdom": "29.4.3",
+    "jest-environment-node": "^29.4.1",
     "jest-resolve": "^29.4.1",
     "jest-util": "^29.4.1",
     "js-tokens": "^4.0.0",
@@ -206,6 +208,9 @@
     "loader-utils": "2.0.3",
     "magic-string": "~0.30.2",
     "markdown-factory": "^0.0.6",
+    "mdast-util-from-markdown": "^1.3.1",
+    "mdast-util-to-markdown": "^1.5.0",
+    "mdast-util-to-string": "^3.2.0",
     "memfs": "^3.0.1",
     "metro-config": "0.76.7",
     "metro-resolver": "0.76.7",
@@ -267,6 +272,7 @@
     "typedoc": "0.24.8",
     "typedoc-plugin-markdown": "3.15.3",
     "typescript": "~5.1.3",
+    "unist-builder": "^4.0.0",
     "unzipper": "^0.10.11",
     "url-loader": "^4.1.1",
     "use-sync-external-store": "^1.2.0",
@@ -359,4 +365,3 @@
     }
   }
 }
-

tools/documentation/create-embeddings/.eslintrc.json

@@ -0,0 +1,18 @@
+{
+  "extends": ["../../../.eslintrc.json"],
+  "ignorePatterns": ["!**/*"],
+  "overrides": [
+    {
+      "files": ["*.ts", "*.tsx", "*.js", "*.jsx"],
+      "rules": {}
+    },
+    {
+      "files": ["*.ts", "*.tsx"],
+      "rules": {}
+    },
+    {
+      "files": ["*.js", "*.jsx"],
+      "rules": {}
+    }
+  ]
+}

tools/documentation/create-embeddings/jest.config.ts

@@ -0,0 +1,18 @@
+/* eslint-disable */
+export default {
+  displayName: 'tools-documentation-create-embeddings',
+  preset: './jest.preset.js',
+  testEnvironment: 'node',
+  transform: {
+    '^.+\\.(ts|tsx|js|jsx|mts|mjs)$': [
+      'ts-jest',
+      { tsconfig: '<rootDir>/tsconfig.spec.json' },
+    ],
+  },
+  transformIgnorePatterns: [
+    // Ensure that Jest does not ignore github-slugger
+    '<rootDir>/node_modules/.pnpm/(?!(github-slugger)@)',
+  ],
+  moduleFileExtensions: ['mts', 'ts', 'js', 'html'],
+  coverageDirectory: '../../../coverage/tools/documentation/create-embeddings',
+};

tools/documentation/create-embeddings/jest.preset.js

@@ -0,0 +1,16 @@
+const nxPreset = require('@nx/jest/preset').default;
+
+module.exports = {
+  ...nxPreset,
+  testTimeout: 30000,
+  testMatch: ['**/+(*.)+(spec|test).+(ts|js)?(x)'],
+  transform: {
+    '^.+\\.(ts|tsx|js|jsx|mts|mjs)$': 'ts-jest',
+  },
+  resolver: '../../../scripts/patched-jest-resolver.js',
+  // Fixes https://github.com/jestjs/jest/issues/11956
+  runtime: '@side/jest-runtime',
+  moduleFileExtensions: ['ts', 'js', 'mts', 'html'],
+  coverageReporters: ['html'],
+  maxWorkers: 1,
+};

tools/documentation/create-embeddings/project.json

@@ -0,0 +1,78 @@
+{
+  "name": "tools-documentation-create-embeddings",
+  "$schema": "../../../node_modules/nx/schemas/project-schema.json",
+  "sourceRoot": "tools/documentation/create-embeddings/src",
+  "projectType": "application",
+  "targets": {
+    "build": {
+      "executor": "@nx/esbuild:esbuild",
+      "outputs": ["{options.outputPath}"],
+      "defaultConfiguration": "production",
+      "options": {
+        "platform": "node",
+        "outputPath": "dist/tools/documentation/create-embeddings",
+        "format": ["esm"],
+        "bundle": false,
+        "main": "tools/documentation/create-embeddings/src/main.mts",
+        "tsConfig": "tools/documentation/create-embeddings/tsconfig.app.json",
+        "assets": ["tools/documentation/create-embeddings/src/assets"],
+        "generatePackageJson": true,
+        "esbuildOptions": {
+          "sourcemap": true,
+          "outExtension": {
+            ".js": ".js"
+          }
+        }
+      },
+      "configurations": {
+        "development": {},
+        "production": {
+          "esbuildOptions": {
+            "sourcemap": false,
+            "outExtension": {
+              ".js": ".js"
+            }
+          }
+        }
+      }
+    },
+    "run-node": {
+      "executor": "@nx/js:node",
+      "defaultConfiguration": "development",
+      "options": {
+        "buildTarget": "tools-documentation-create-embeddings:build",
+        "watch": false
+      },
+      "configurations": {
+        "development": {
+          "buildTarget": "tools-documentation-create-embeddings:build:development"
+        },
+        "production": {
+          "buildTarget": "tools-documentation-create-embeddings:build:production"
+        }
+      }
+    },
+    "lint": {
+      "executor": "@nx/linter:eslint",
+      "outputs": ["{options.outputFile}"],
+      "options": {
+        "lintFilePatterns": ["tools/documentation/create-embeddings/**/*.ts"]
+      }
+    },
+    "test": {
+      "executor": "@nx/jest:jest",
+      "outputs": ["{workspaceRoot}/coverage/{projectRoot}"],
+      "options": {
+        "jestConfig": "tools/documentation/create-embeddings/jest.config.ts",
+        "passWithNoTests": true
+      },
+      "configurations": {
+        "ci": {
+          "ci": true,
+          "codeCoverage": true
+        }
+      }
+    }
+  },
+  "tags": []
+}

tools/documentation/create-embeddings/src/main.mts

@@ -0,0 +1,434 @@
+// based on:
+// https://github.com/supabase-community/nextjs-openai-doc-search/blob/main/lib/generate-embeddings.ts
+
+import { createClient } from '@supabase/supabase-js';
+import * as dotenv from 'dotenv';
+import { readFile } from 'fs/promises';
+import 'openai';
+import { Configuration, OpenAIApi } from 'openai';
+import { inspect } from 'util';
+import yargs from 'yargs';
+import { createHash } from 'crypto';
+import GithubSlugger from 'github-slugger';
+import { fromMarkdown } from 'mdast-util-from-markdown';
+import { toMarkdown } from 'mdast-util-to-markdown';
+import { toString } from 'mdast-util-to-string';
+import { u } from 'unist-builder';
+import mapJson from '../../../../docs/map.json' assert { type: 'json' };
+import manifestsCloud from '../../../../docs/generated/manifests/cloud.json' assert { type: 'json' };
+import manifestsExtending from '../../../../docs/generated/manifests/extending-nx.json' assert { type: 'json' };
+import manifestsNx from '../../../../docs/generated/manifests/nx.json' assert { type: 'json' };
+import manifestsPackages from '../../../../docs/generated/manifests/packages.json' assert { type: 'json' };
+import manifestsRecipes from '../../../../docs/generated/manifests/recipes.json' assert { type: 'json' };
+import manifestsTags from '../../../../docs/generated/manifests/tags.json' assert { type: 'json' };
+
+dotenv.config();
+
+type ProcessedMdx = {
+  checksum: string;
+  sections: Section[];
+};
+
+type Section = {
+  content: string;
+  heading?: string;
+  slug?: string;
+};
+
+/**
+ * Splits a `mdast` tree into multiple trees based on
+ * a predicate function. Will include the splitting node
+ * at the beginning of each tree.
+ *
+ * Useful to split a markdown file into smaller sections.
+ */
+export function splitTreeBy(tree: any, predicate: (node: any) => boolean) {
+  return tree.children.reduce((trees: any, node: any) => {
+    const [lastTree] = trees.slice(-1);
+
+    if (!lastTree || predicate(node)) {
+      const tree = u('root', [node]);
+      return trees.concat(tree);
+    }
+
+    lastTree.children.push(node);
+    return trees;
+  }, []);
+}
+
+/**
+ * Processes MD content for search indexing.
+ * It extracts metadata and splits it into sub-sections based on criteria.
+ */
+export function processMdxForSearch(content: string): ProcessedMdx {
+  const checksum = createHash('sha256').update(content).digest('base64');
+
+  const mdTree = fromMarkdown(content, {});
+
+  if (!mdTree) {
+    return {
+      checksum,
+      sections: [],
+    };
+  }
+
+  const sectionTrees = splitTreeBy(mdTree, (node) => node.type === 'heading');
+
+  const slugger = new GithubSlugger();
+
+  const sections = sectionTrees.map((tree: any) => {
+    const [firstNode] = tree.children;
+
+    const heading =
+      firstNode.type === 'heading' ? toString(firstNode) : undefined;
+    const slug = heading ? slugger.slug(heading) : undefined;
+
+    return {
+      content: toMarkdown(tree),
+      heading,
+      slug,
+    };
+  });
+
+  return {
+    checksum,
+    sections,
+  };
+}
+
+type WalkEntry = {
+  path: string;
+  url_partial: string;
+};
+
+abstract class BaseEmbeddingSource {
+  checksum?: string;
+  sections?: Section[];
+
+  constructor(
+    public source: string,
+    public path: string,
+    public url_partial: string
+  ) {}
+
+  abstract load(): Promise<{
+    checksum: string;
+    sections: Section[];
+  }>;
+}
+
+class MarkdownEmbeddingSource extends BaseEmbeddingSource {
+  type: 'markdown' = 'markdown';
+
+  constructor(
+    source: string,
+    public filePath: string,
+    public url_partial: string
+  ) {
+    const path = filePath.replace(/^docs/, '').replace(/\.md?$/, '');
+    super(source, path, url_partial);
+  }
+
+  async load() {
+    const contents = await readFile(this.filePath, 'utf8');
+
+    const { checksum, sections } = processMdxForSearch(contents);
+
+    this.checksum = checksum;
+    this.sections = sections;
+
+    return {
+      checksum,
+      sections,
+    };
+  }
+}
+
+type EmbeddingSource = MarkdownEmbeddingSource;
+
+async function generateEmbeddings() {
+  const argv = await yargs().option('refresh', {
+    alias: 'r',
+    description: 'Refresh data',
+    type: 'boolean',
+  }).argv;
+
+  const shouldRefresh = argv.refresh;
+
+  if (!process.env.NX_NEXT_PUBLIC_SUPABASE_URL) {
+    throw new Error(
+      'Environment variable NX_NEXT_PUBLIC_SUPABASE_URL is required: skipping embeddings generation'
+    );
+  }
+
+  if (!process.env.NX_SUPABASE_SERVICE_ROLE_KEY) {
+    throw new Error(
+      'Environment variable NX_SUPABASE_SERVICE_ROLE_KEY is required: skipping embeddings generation'
+    );
+  }
+
+  if (!process.env.NX_OPENAI_KEY) {
+    throw new Error(
+      'Environment variable NX_OPENAI_KEY is required: skipping embeddings generation'
+    );
+  }
+
+  const supabaseClient = createClient(
+    process.env.NX_NEXT_PUBLIC_SUPABASE_URL,
+    process.env.NX_SUPABASE_SERVICE_ROLE_KEY,
+    {
+      auth: {
+        persistSession: false,
+        autoRefreshToken: false,
+      },
+    }
+  );
+
+  const allFilesPaths = [
+    ...getAllFilesFromMapJson(mapJson),
+    ...getAllFilesWithItemList(manifestsCloud),
+    ...getAllFilesWithItemList(manifestsExtending),
+    ...getAllFilesWithItemList(manifestsNx),
+    ...getAllFilesWithItemList(manifestsPackages),
+    ...getAllFilesWithItemList(manifestsRecipes),
+    ...getAllFilesWithItemList(manifestsTags),
+  ].filter((entry) => !entry.path.includes('sitemap'));
+
+  const embeddingSources: EmbeddingSource[] = [
+    ...allFilesPaths.map((entry) => {
+      return new MarkdownEmbeddingSource(
+        'guide',
+        entry.path,
+        entry.url_partial
+      );
+    }),
+  ];
+
+  console.log(`Discovered ${embeddingSources.length} pages`);
+
+  if (!shouldRefresh) {
+    console.log('Checking which pages are new or have changed');
+  } else {
+    console.log('Refresh flag set, re-generating all pages');
+  }
+
+  for (const [index, embeddingSource] of embeddingSources.entries()) {
+    const { type, source, path, url_partial } = embeddingSource;
+
+    try {
+      const { checksum, sections } = await embeddingSource.load();
+
+      // Check for existing page in DB and compare checksums
+      const { error: fetchPageError, data: existingPage } = await supabaseClient
+        .from('nods_page')
+        .select('id, path, checksum')
+        .filter('path', 'eq', path)
+        .limit(1)
+        .maybeSingle();
+
+      if (fetchPageError) {
+        throw fetchPageError;
+      }
+
+      // We use checksum to determine if this page & its sections need to be regenerated
+      if (!shouldRefresh && existingPage?.checksum === checksum) {
+        continue;
+      }
+
+      if (existingPage) {
+        if (!shouldRefresh) {
+          console.log(
+            `#${index}: [${path}] Docs have changed, removing old page sections and their embeddings`
+          );
+        } else {
+          console.log(
+            `#${index}: [${path}] Refresh flag set, removing old page sections and their embeddings`
+          );
+        }
+
+        const { error: deletePageSectionError } = await supabaseClient
+          .from('nods_page_section')
+          .delete()
+          .filter('page_id', 'eq', existingPage.id);
+
+        if (deletePageSectionError) {
+          throw deletePageSectionError;
+        }
+      }
+
+      // Create/update page record. Intentionally clear checksum until we
+      // have successfully generated all page sections.
+      const { error: upsertPageError, data: page } = await supabaseClient
+        .from('nods_page')
+        .upsert(
+          {
+            checksum: null,
+            path,
+            url_partial,
+            type,
+            source,
+          },
+          { onConflict: 'path' }
+        )
+        .select()
+        .limit(1)
+        .single();
+
+      if (upsertPageError) {
+        throw upsertPageError;
+      }
+
+      console.log(
+        `#${index}: [${path}] Adding ${sections.length} page sections (with embeddings)`
+      );
+      console.log(
+        `${embeddingSources.length - index - 1} pages remaining to process.`
+      );
+
+      for (const { slug, heading, content } of sections) {
+        // OpenAI recommends replacing newlines with spaces for best results (specific to embeddings)
+        const input = content.replace(/\n/g, ' ');
+
+        try {
+          const configuration = new Configuration({
+            apiKey: process.env.NX_OPENAI_KEY,
+          });
+          const openai = new OpenAIApi(configuration);
+
+          const embeddingResponse = await openai.createEmbedding({
+            model: 'text-embedding-ada-002',
+            input,
+          });
+
+          if (embeddingResponse.status !== 200) {
+            throw new Error(inspect(embeddingResponse.data, false, 2));
+          }
+
+          const [responseData] = embeddingResponse.data.data;
+
+          const { error: insertPageSectionError, data: pageSection } =
+            await supabaseClient
+              .from('nods_page_section')
+              .insert({
+                page_id: page.id,
+                slug,
+                heading,
+                content,
+                url_partial,
+                token_count: embeddingResponse.data.usage.total_tokens,
+                embedding: responseData.embedding,
+              })
+              .select()
+              .limit(1)
+              .single();
+
+          if (insertPageSectionError) {
+            throw insertPageSectionError;
+          }
+
+          // Add delay after each request
+          await delay(500); // delay of 0.5 second
+        } catch (err) {
+          // TODO: decide how to better handle failed embeddings
+          console.error(
+            `Failed to generate embeddings for '${path}' page section starting with '${input.slice(
+              0,
+              40
+            )}...'`
+          );
+
+          throw err;
+        }
+      }
+
+      // Set page checksum so that we know this page was stored successfully
+      const { error: updatePageError } = await supabaseClient
+        .from('nods_page')
+        .update({ checksum })
+        .filter('id', 'eq', page.id);
+
+      if (updatePageError) {
+        throw updatePageError;
+      }
+    } catch (err) {
+      console.error(
+        `Page '${path}' or one/multiple of its page sections failed to store properly. Page has been marked with null checksum to indicate that it needs to be re-generated.`
+      );
+      console.error(err);
+    }
+  }
+
+  console.log('Embedding generation complete');
+}
+
+function delay(ms: number) {
+  return new Promise((resolve) => setTimeout(resolve, ms));
+}
+
+function getAllFilesFromMapJson(doc): WalkEntry[] {
+  const files: WalkEntry[] = [];
+
+  function traverse(itemList) {
+    for (const item of itemList) {
+      if (item.file && item.file.length > 0) {
+        // we can exclude some docs here, eg. the deprecated ones
+        // the path is the relative path to the file within the nx repo
+        // the url_partial is the relative path to the file within the docs site - under nx.dev
+        files.push({ path: `docs/${item.file}.md`, url_partial: item.path });
+      }
+
+      if (item.itemList) {
+        traverse(item.itemList);
+      }
+    }
+  }
+
+  for (const item of doc.content) {
+    traverse([item]);
+  }
+  return files;
+}
+
+function getAllFilesWithItemList(data): WalkEntry[] {
+  const files: WalkEntry[] = [];
+
+  function traverse(itemList) {
+    for (const item of itemList) {
+      if (item.file && item.file.length > 0) {
+        // the path is the relative path to the file within the nx repo
+        // the url_partial is the relative path to the file within the docs site - under nx.dev
+        files.push({ path: `docs/${item.file}.md`, url_partial: item.path });
+      }
+
+      if (item.itemList) {
+        traverse(item.itemList);
+      }
+    }
+  }
+
+  for (const key in data) {
+    if (data[key].itemList) {
+      traverse([data[key]]);
+    } else {
+      if (data[key].documents) {
+        files.push(...getAllFilesWithItemList(data[key].documents));
+      }
+      if (data[key].generators) {
+        files.push(...getAllFilesWithItemList(data[key].generators));
+      }
+      if (data[key].executors) {
+        files.push(...getAllFilesWithItemList(data[key].executors));
+      }
+      if (data[key]?.length > 0) {
+        traverse(data[key]);
+      }
+    }
+  }
+  return files;
+}
+
+async function main() {
+  await generateEmbeddings();
+}
+
+main().catch((err) => console.error(err));

tools/documentation/create-embeddings/tsconfig.app.json

@@ -0,0 +1,13 @@
+{
+  "extends": "./tsconfig.json",
+  "compilerOptions": {
+    "outDir": "../../../dist/out-tsc",
+    "module": "ESNext",
+    "moduleResolution": "nodenext",
+    "types": ["node"],
+    "esModuleInterop": true,
+    "resolveJsonModule": true
+  },
+  "exclude": ["jest.config.ts", "src/**/*.spec.ts", "src/**/*.test.ts"],
+  "include": ["src/**/*.ts", "src/**/*.mts"]
+}

tools/documentation/create-embeddings/tsconfig.json

@@ -0,0 +1,18 @@
+{
+  "extends": "../../../tsconfig.base.json",
+  "files": [],
+  "include": [],
+  "references": [
+    {
+      "path": "./tsconfig.app.json"
+    },
+    {
+      "path": "./tsconfig.spec.json"
+    }
+  ],
+  "compilerOptions": {
+    "esModuleInterop": true,
+    "module": "esnext",
+    "target": "esnext"
+  }
+}

tools/documentation/create-embeddings/tsconfig.spec.json

@@ -0,0 +1,16 @@
+{
+  "extends": "./tsconfig.json",
+  "compilerOptions": {
+    "outDir": "../../../dist/out-tsc",
+    "module": "commonjs",
+    "types": ["jest", "node"],
+    "allowImportingTsExtensions": true,
+    "emitDeclarationOnly": true
+  },
+  "include": [
+    "jest.config.ts",
+    "src/**/*.test.ts",
+    "src/**/*.spec.ts",
+    "src/**/*.d.ts"
+  ]
+}