glean-core-workflow-a

# Glean Core Workflow A: Search & Chat ## Overview Build search and chat experiences using the Glean Client API. Covers full-text search with filters, AI-powered chat answers, and autocomplete suggestions. ## Instructions ### Step 1: Search with Filters and Facets ```typescript const results = await fetch(`${GLEAN}/client/v1/search`, { method: 'POST', headers: searchHeaders, body: JSON.stringify({ query: 'kubernetes deployment best practices', pageSize: 20, requestOptions: { datasourceFilter: 'confluence,github', facetFilters: [{ fieldName: 'author', values: ['engineering-team'] }], }, }), }).then(r => r.json()); results.results?.forEach((r: any) => { console.log(`[${r.datasource}] ${r.title}`); console.log(` ${r.snippets?.[0]?.snippet ?? ''}`); }); ``` ### Step 2: AI Chat (Glean Assistant) ```typescript const chatResponse = await fetch(`${GLEAN}/client/v1/chat`, { method: 'POST', headers: searchHeaders, body: JSON.stringify({ messages: [{ role: 'USER', content: 'What is our deployment process for production?' }], applicationId: 'my-app', }), }).then(r => r.json()); console.log('Answer:', chatResponse.messages?.[0]?.content); console.log('Sources:', chatResponse.citations?.map((c: any) => c.title).join(', ')); ``` ### Step 3: Autocomplete / Suggestions ```typescript const suggestions = await fetch(`${GLEAN}/client/v1/autocomplete`, { method: 'POST', headers: searchHeaders, body: JSON.stringify({ query: 'deplo...