|
37 | 37 | }
|
38 | 38 | ]
|
39 | 39 | },
|
| 40 | + { |
| 41 | + "type": "group", |
| 42 | + "id": "vss", |
| 43 | + "label": "Vector search explained", |
| 44 | + "args": { |
| 45 | + "initialIsOpen": false |
| 46 | + }, |
| 47 | + "children": [ |
| 48 | + { |
| 49 | + "type": "internal-link", |
| 50 | + "id": "vss-intro", |
| 51 | + "label": "Introduction", |
| 52 | + "summary": "Understand how to use Redis as a vector database.", |
| 53 | + "args": { |
| 54 | + "path": "/vss/intro.md" |
| 55 | + } |
| 56 | + }, |
| 57 | + { |
| 58 | + "type": "internal-link", |
| 59 | + "id": "e-commerce-discovery", |
| 60 | + "label": "E-commerce Discovery", |
| 61 | + "summary": "Find products by meaning, not just keywords.", |
| 62 | + "args": { |
| 63 | + "path": "/vss/e-commerce-discovery.md" |
| 64 | + } |
| 65 | + }, |
| 66 | + { |
| 67 | + "type": "internal-link", |
| 68 | + "id": "personalized_recommendations", |
| 69 | + "label": "Building personalized recommendations", |
| 70 | + "summary": "Suggest movies based on the true meaning of plots or themes.", |
| 71 | + "args": { |
| 72 | + "path": "/uc/personalized_recommendations.md" |
| 73 | + } |
| 74 | + }, |
| 75 | + { |
| 76 | + "type": "internal-link", |
| 77 | + "id": "ai_assistant", |
| 78 | + "label": "Creating an AI Assistant", |
| 79 | + "summary": "An assistant that temporarily remembers conversations and understands their meaning.", |
| 80 | + "args": { |
| 81 | + "path": "/uc/ai_assistant.md" |
| 82 | + } |
| 83 | + }, |
| 84 | + { |
| 85 | + "type": "internal-link", |
| 86 | + "id": "vss-learn-more", |
| 87 | + "label": "Learn more", |
| 88 | + "args": { |
| 89 | + "path": "/vss/learn-more.md" |
| 90 | + } |
| 91 | + } |
| 92 | + ] |
| 93 | + }, |
| 94 | + { |
| 95 | + "type": "group", |
| 96 | + "id": "sq", |
| 97 | + "label": "How to query your data", |
| 98 | + "args": { |
| 99 | + "initialIsOpen": false |
| 100 | + }, |
| 101 | + "children": [ |
| 102 | + { |
| 103 | + "type": "internal-link", |
| 104 | + "id": "sq-intro", |
| 105 | + "label": "Introduction", |
| 106 | + "summary": "Try real-time searching and perform complex structured queries without compromising the database performance.", |
| 107 | + "args": { |
| 108 | + "path": "/sq/intro.md" |
| 109 | + } |
| 110 | + }, |
| 111 | + { |
| 112 | + "type": "internal-link", |
| 113 | + "id": "sq-exact-match", |
| 114 | + "label": "Exact match", |
| 115 | + "args": { |
| 116 | + "path": "/sq/exact-match.md" |
| 117 | + } |
| 118 | + }, |
| 119 | + { |
| 120 | + "type": "internal-link", |
| 121 | + "id": "sq-full-text", |
| 122 | + "label": "Full-text search", |
| 123 | + "args": { |
| 124 | + "path": "/sq/full-text.md" |
| 125 | + } |
| 126 | + }, |
| 127 | + { |
| 128 | + "type": "internal-link", |
| 129 | + "id": "sq-range", |
| 130 | + "label": "Range queries", |
| 131 | + "args": { |
| 132 | + "path": "/sq/range.md" |
| 133 | + } |
| 134 | + }, |
| 135 | + { |
| 136 | + "type": "internal-link", |
| 137 | + "id": "sq-geospatial", |
| 138 | + "label": "Geospatial queries", |
| 139 | + "args": { |
| 140 | + "path": "/sq/geospatial.md" |
| 141 | + } |
| 142 | + }, |
| 143 | + { |
| 144 | + "type": "internal-link", |
| 145 | + "id": "sq-combined", |
| 146 | + "label": "Combined queries", |
| 147 | + "args": { |
| 148 | + "path": "/sq/combined.md" |
| 149 | + } |
| 150 | + }, |
| 151 | + { |
| 152 | + "type": "internal-link", |
| 153 | + "id": "sq-aggregations", |
| 154 | + "label": "Analytic and transformative queries", |
| 155 | + "args": { |
| 156 | + "path": "/sq/aggregations.md" |
| 157 | + } |
| 158 | + }, |
| 159 | + { |
| 160 | + "type": "internal-link", |
| 161 | + "id": "sq-learn-more", |
| 162 | + "label": "Learn more", |
| 163 | + "args": { |
| 164 | + "path": "/sq/learn-more.md" |
| 165 | + } |
| 166 | + } |
| 167 | + ] |
| 168 | + }, |
40 | 169 | {
|
41 | 170 | "type": "group",
|
42 | 171 | "id": "ds",
|
|
308 | 437 | ]
|
309 | 438 | }
|
310 | 439 | ]
|
311 |
| - }, |
312 |
| - { |
313 |
| - "type": "group", |
314 |
| - "id": "sq", |
315 |
| - "label": "How to query your data", |
316 |
| - "args": { |
317 |
| - "initialIsOpen": false |
318 |
| - }, |
319 |
| - "children": [ |
320 |
| - { |
321 |
| - "type": "internal-link", |
322 |
| - "id": "sq-intro", |
323 |
| - "label": "Introduction", |
324 |
| - "summary": "Try real-time searching and perform complex structured queries without compromising the database performance.", |
325 |
| - "args": { |
326 |
| - "path": "/sq/intro.md" |
327 |
| - } |
328 |
| - }, |
329 |
| - { |
330 |
| - "type": "internal-link", |
331 |
| - "id": "sq-exact-match", |
332 |
| - "label": "Exact match", |
333 |
| - "args": { |
334 |
| - "path": "/sq/exact-match.md" |
335 |
| - } |
336 |
| - }, |
337 |
| - { |
338 |
| - "type": "internal-link", |
339 |
| - "id": "sq-full-text", |
340 |
| - "label": "Full-text search", |
341 |
| - "args": { |
342 |
| - "path": "/sq/full-text.md" |
343 |
| - } |
344 |
| - }, |
345 |
| - { |
346 |
| - "type": "internal-link", |
347 |
| - "id": "sq-range", |
348 |
| - "label": "Range queries", |
349 |
| - "args": { |
350 |
| - "path": "/sq/range.md" |
351 |
| - } |
352 |
| - }, |
353 |
| - { |
354 |
| - "type": "internal-link", |
355 |
| - "id": "sq-geospatial", |
356 |
| - "label": "Geospatial queries", |
357 |
| - "args": { |
358 |
| - "path": "/sq/geospatial.md" |
359 |
| - } |
360 |
| - }, |
361 |
| - { |
362 |
| - "type": "internal-link", |
363 |
| - "id": "sq-combined", |
364 |
| - "label": "Combined queries", |
365 |
| - "args": { |
366 |
| - "path": "/sq/combined.md" |
367 |
| - } |
368 |
| - }, |
369 |
| - { |
370 |
| - "type": "internal-link", |
371 |
| - "id": "sq-aggregations", |
372 |
| - "label": "Analytic and transformative queries", |
373 |
| - "args": { |
374 |
| - "path": "/sq/aggregations.md" |
375 |
| - } |
376 |
| - }, |
377 |
| - { |
378 |
| - "type": "internal-link", |
379 |
| - "id": "sq-learn-more", |
380 |
| - "label": "Learn more", |
381 |
| - "args": { |
382 |
| - "path": "/sq/learn-more.md" |
383 |
| - } |
384 |
| - } |
385 |
| - ] |
386 |
| - }, |
387 |
| - { |
388 |
| - "type": "group", |
389 |
| - "id": "vss", |
390 |
| - "label": "Vector search explained", |
391 |
| - "args": { |
392 |
| - "initialIsOpen": false |
393 |
| - }, |
394 |
| - "children": [ |
395 |
| - { |
396 |
| - "type": "internal-link", |
397 |
| - "id": "vss-intro", |
398 |
| - "label": "Introduction", |
399 |
| - "summary": "Understand how to use Redis as a vector database.", |
400 |
| - "args": { |
401 |
| - "path": "/vss/intro.md" |
402 |
| - } |
403 |
| - }, |
404 |
| - { |
405 |
| - "type": "internal-link", |
406 |
| - "id": "e-commerce-discovery", |
407 |
| - "label": "E-commerce Discovery", |
408 |
| - "summary": "Find products by meaning, not just keywords.", |
409 |
| - "args": { |
410 |
| - "path": "/vss/e-commerce-discovery.md" |
411 |
| - } |
412 |
| - }, |
413 |
| - { |
414 |
| - "type": "internal-link", |
415 |
| - "id": "personalized_recommendations", |
416 |
| - "label": "Building personalized recommendations", |
417 |
| - "summary": "Suggest movies based on the true meaning of plots or themes.", |
418 |
| - "args": { |
419 |
| - "path": "/uc/personalized_recommendations.md" |
420 |
| - } |
421 |
| - }, |
422 |
| - { |
423 |
| - "type": "internal-link", |
424 |
| - "id": "ai_assistant", |
425 |
| - "label": "Creating an AI Assistant", |
426 |
| - "summary": "An assistant that temporarily remembers conversations and understands their meaning.", |
427 |
| - "args": { |
428 |
| - "path": "/uc/ai_assistant.md" |
429 |
| - } |
430 |
| - }, |
431 |
| - { |
432 |
| - "type": "internal-link", |
433 |
| - "id": "vss-learn-more", |
434 |
| - "label": "Learn more", |
435 |
| - "args": { |
436 |
| - "path": "/vss/learn-more.md" |
437 |
| - } |
438 |
| - } |
439 |
| - ] |
440 | 440 | }
|
441 | 441 | ]
|
442 | 442 | }
|
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