liuhua
liuhua
commited on
Commit
·
6f8784a
1
Parent(s):
542bb2e
Update api documents (#3979)
Browse files### What problem does this PR solve?
Update api documents
### Type of change
- [x] Documentation Update
Co-authored-by: liuhua <[email protected]>
- docs/references/http_api_reference.md +124 -983
- docs/references/python_api_reference.md +20 -20
docs/references/http_api_reference.md
CHANGED
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"type": "beginNode",
|
| 3294 |
"width": 200
|
| 3295 |
-
},
|
| 3296 |
-
{
|
| 3297 |
-
"data": {
|
| 3298 |
-
"form": {},
|
| 3299 |
-
"label": "Answer",
|
| 3300 |
-
"name": "对话_0"
|
| 3301 |
-
},
|
| 3302 |
-
"dragging": false,
|
| 3303 |
-
"height": 44,
|
| 3304 |
-
"id": "Answer:ThickBeesTap",
|
| 3305 |
-
"position": {
|
| 3306 |
-
"x": 297.6576850283112,
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| 3307 |
-
"y": 203.86553837720618
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| 3308 |
-
},
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| 3309 |
-
"positionAbsolute": {
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| 3310 |
-
"x": 297.6576850283112,
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| 3311 |
-
"y": 203.86553837720618
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| 3312 |
-
},
|
| 3313 |
-
"selected": false,
|
| 3314 |
-
"sourcePosition": "right",
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| 3315 |
-
"targetPosition": "left",
|
| 3316 |
-
"type": "logicNode",
|
| 3317 |
-
"width": 200
|
| 3318 |
-
},
|
| 3319 |
-
{
|
| 3320 |
-
"data": {
|
| 3321 |
-
"form": {
|
| 3322 |
-
"category_description": {
|
| 3323 |
-
"百度搜索": {
|
| 3324 |
-
"description": "接收用户的问题",
|
| 3325 |
-
"examples": "who are you\n今天天气如何",
|
| 3326 |
-
"index": 0,
|
| 3327 |
-
"to": "Retrieval:KindMammalsBeg"
|
| 3328 |
-
}
|
| 3329 |
-
},
|
| 3330 |
-
"frequencyPenaltyEnabled": true,
|
| 3331 |
-
"frequency_penalty": 0.7,
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| 3332 |
-
"llm_id": "gpt-4o___OpenAI-API@OpenAI-API-Compatible",
|
| 3333 |
-
"maxTokensEnabled": true,
|
| 3334 |
-
"max_tokens": 256,
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| 3335 |
-
"message_history_window_size": 1,
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| 3336 |
-
"presencePenaltyEnabled": true,
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| 3337 |
-
"presence_penalty": 0.4,
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| 3338 |
-
"query": [],
|
| 3339 |
-
"temperature": 0.1,
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| 3340 |
-
"temperatureEnabled": true,
|
| 3341 |
-
"topPEnabled": true,
|
| 3342 |
-
"top_p": 0.3
|
| 3343 |
-
},
|
| 3344 |
-
"label": "Categorize",
|
| 3345 |
-
"name": "问题分类_0"
|
| 3346 |
-
},
|
| 3347 |
-
"dragging": false,
|
| 3348 |
-
"height": 136,
|
| 3349 |
-
"id": "Categorize:TameDodosLove",
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| 3350 |
-
"position": {
|
| 3351 |
-
"x": 621.0820384684355,
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| 3352 |
-
"y": 220.11059722579682
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| 3353 |
-
},
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| 3354 |
-
"positionAbsolute": {
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| 3355 |
-
"x": 621.0820384684355,
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| 3356 |
-
"y": 220.11059722579682
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| 3357 |
-
},
|
| 3358 |
-
"selected": false,
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| 3359 |
-
"sourcePosition": "right",
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| 3360 |
-
"targetPosition": "left",
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| 3361 |
-
"type": "categorizeNode",
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| 3362 |
-
"width": 200
|
| 3363 |
-
},
|
| 3364 |
-
{
|
| 3365 |
-
"data": {
|
| 3366 |
-
"form": {
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| 3367 |
-
"query": [],
|
| 3368 |
-
"top_n": 10
|
| 3369 |
-
},
|
| 3370 |
-
"label": "Baidu",
|
| 3371 |
-
"name": "百度_0"
|
| 3372 |
-
},
|
| 3373 |
-
"dragging": false,
|
| 3374 |
-
"height": 64,
|
| 3375 |
-
"id": "Baidu:TrueBananasPay",
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| 3376 |
-
"position": {
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| 3377 |
-
"x": 1090.4399996938341,
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| 3378 |
-
"y": -10.899556912399987
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| 3379 |
-
},
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| 3380 |
-
"positionAbsolute": {
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| 3381 |
-
"x": 1090.4399996938341,
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| 3382 |
-
"y": -10.899556912399987
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| 3383 |
-
},
|
| 3384 |
-
"selected": false,
|
| 3385 |
-
"sourcePosition": "right",
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| 3386 |
-
"targetPosition": "left",
|
| 3387 |
-
"type": "ragNode",
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| 3388 |
-
"width": 200
|
| 3389 |
-
},
|
| 3390 |
-
{
|
| 3391 |
-
"data": {
|
| 3392 |
-
"form": {
|
| 3393 |
-
"cite": true,
|
| 3394 |
-
"frequencyPenaltyEnabled": true,
|
| 3395 |
-
"frequency_penalty": 0.7,
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| 3396 |
-
"llm_id": "gpt-4o___OpenAI-API@OpenAI-API-Compatible",
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| 3397 |
-
"maxTokensEnabled": true,
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| 3398 |
-
"max_tokens": 256,
|
| 3399 |
-
"message_history_window_size": 12,
|
| 3400 |
-
"parameters": [
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| 3401 |
-
{
|
| 3402 |
-
"component_id": "Retrieval:KindMammalsBeg",
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| 3403 |
-
"id": "1cc92398-2306-42ee-b401-6bfb49e1084e",
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| 3404 |
-
"key": "input"
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| 3405 |
-
}
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| 3406 |
-
],
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| 3407 |
-
"presencePenaltyEnabled": true,
|
| 3408 |
-
"presence_penalty": 0.4,
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| 3409 |
-
"prompt": "Please summarize the following paragraphs. Be careful with the numbers, do not make things up. Paragraphs as following:\n {input}\n The above is the content you need to summarize.",
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| 3410 |
-
"temperature": 0.1,
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| 3411 |
-
"temperatureEnabled": true,
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| 3412 |
-
"topPEnabled": true,
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| 3413 |
-
"top_p": 0.3
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| 3414 |
-
},
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| 3415 |
-
"label": "Generate",
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| 3416 |
-
"name": "生成回答_0"
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| 3417 |
-
},
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| 3418 |
-
"dragging": false,
|
| 3419 |
-
"height": 147,
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| 3420 |
-
"id": "Generate:RealCatsJudge",
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| 3421 |
-
"position": {
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| 3422 |
-
"x": 816.022744651524,
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| 3423 |
-
"y": 585.3018986039125
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| 3424 |
-
},
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| 3425 |
-
"positionAbsolute": {
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| 3426 |
-
"x": 816.022744651524,
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| 3427 |
-
"y": 585.3018986039125
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| 3428 |
-
},
|
| 3429 |
-
"selected": true,
|
| 3430 |
-
"sourcePosition": "right",
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| 3431 |
-
"targetPosition": "left",
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| 3432 |
-
"type": "generateNode",
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| 3433 |
-
"width": 200
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| 3434 |
-
},
|
| 3435 |
-
{
|
| 3436 |
-
"data": {
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| 3437 |
-
"form": {},
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| 3438 |
-
"label": "Answer",
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| 3439 |
-
"name": "对话_1"
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| 3440 |
-
},
|
| 3441 |
-
"height": 44,
|
| 3442 |
-
"id": "Answer:SilentNeedlesDouble",
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| 3443 |
-
"position": {
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| 3444 |
-
"x": 402.5121557783059,
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| 3445 |
-
"y": 676.449068518027
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| 3446 |
-
},
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| 3447 |
-
"sourcePosition": "right",
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| 3448 |
-
"targetPosition": "left",
|
| 3449 |
-
"type": "logicNode",
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| 3450 |
-
"width": 200
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| 3451 |
-
},
|
| 3452 |
-
{
|
| 3453 |
-
"data": {
|
| 3454 |
-
"form": {
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| 3455 |
-
"kb_ids": [
|
| 3456 |
-
"0f8fe876ab1a11efa22c0242ac120006"
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| 3457 |
-
],
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| 3458 |
-
"keywords_similarity_weight": 0.3,
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| 3459 |
-
"query": [],
|
| 3460 |
-
"similarity_threshold": 0.2,
|
| 3461 |
-
"top_n": 8
|
| 3462 |
-
},
|
| 3463 |
-
"label": "Retrieval",
|
| 3464 |
-
"name": "知识检索_0"
|
| 3465 |
-
},
|
| 3466 |
-
"dragging": false,
|
| 3467 |
-
"height": 106,
|
| 3468 |
-
"id": "Retrieval:KindMammalsBeg",
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| 3469 |
-
"position": {
|
| 3470 |
-
"x": 975.4304422274787,
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| 3471 |
-
"y": 341.7370543002002
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| 3472 |
-
},
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| 3473 |
-
"positionAbsolute": {
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| 3474 |
-
"x": 975.4304422274787,
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| 3475 |
-
"y": 341.7370543002002
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| 3476 |
-
},
|
| 3477 |
-
"selected": false,
|
| 3478 |
-
"sourcePosition": "right",
|
| 3479 |
-
"targetPosition": "left",
|
| 3480 |
-
"type": "retrievalNode",
|
| 3481 |
-
"width": 200
|
| 3482 |
}
|
| 3483 |
]
|
| 3484 |
},
|
| 3485 |
-
"history": [
|
| 3486 |
-
|
| 3487 |
-
|
| 3488 |
-
"Hi! I'm your smart assistant. What can I do for you?"
|
| 3489 |
-
]
|
| 3490 |
-
],
|
| 3491 |
-
"messages": [
|
| 3492 |
-
{
|
| 3493 |
-
"content": "Hi! I'm your smart assistant. What can I do for you?",
|
| 3494 |
-
"id": "472be0d2b15f11ef92df0242ac120005",
|
| 3495 |
-
"role": "assistant"
|
| 3496 |
-
}
|
| 3497 |
-
],
|
| 3498 |
-
"path": [
|
| 3499 |
-
[
|
| 3500 |
-
"begin"
|
| 3501 |
-
],
|
| 3502 |
-
[
|
| 3503 |
-
"Answer:ThickBeesTap"
|
| 3504 |
-
]
|
| 3505 |
-
],
|
| 3506 |
"reference": []
|
| 3507 |
},
|
| 3508 |
-
"id": "
|
| 3509 |
-
"title": "
|
| 3510 |
-
"update_date": "
|
| 3511 |
-
"update_time":
|
| 3512 |
"user_id": "69736c5e723611efb51b0242ac120007"
|
| 3513 |
}
|
| 3514 |
]
|
|
|
|
| 2411 |
```json
|
| 2412 |
{
|
| 2413 |
"code": 0,
|
| 2414 |
+
"data": {
|
| 2415 |
+
"agent_id": "e9e2b9c2b2f911ef801d0242ac120006",
|
| 2416 |
+
"dsl": {
|
| 2417 |
+
"answer": [],
|
| 2418 |
+
"components": {
|
| 2419 |
+
"Answer:OrangeTermsBurn": {
|
| 2420 |
+
"downstream": [],
|
| 2421 |
+
"obj": {
|
| 2422 |
+
"component_name": "Answer",
|
| 2423 |
+
"params": {}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2424 |
},
|
| 2425 |
+
"upstream": []
|
| 2426 |
+
},
|
| 2427 |
+
"Generate:SocialYearsRemain": {
|
| 2428 |
+
"downstream": [],
|
| 2429 |
+
"obj": {
|
| 2430 |
+
"component_name": "Generate",
|
| 2431 |
+
"params": {
|
| 2432 |
+
"cite": true,
|
| 2433 |
+
"frequency_penalty": 0.7,
|
| 2434 |
+
"llm_id": "gpt-4o___OpenAI-API@OpenAI-API-Compatible",
|
| 2435 |
+
"max_tokens": 256,
|
| 2436 |
+
"message_history_window_size": 12,
|
| 2437 |
+
"parameters": [],
|
| 2438 |
+
"presence_penalty": 0.4,
|
| 2439 |
+
"prompt": "Please summarize the following paragraph. Pay attention to the numbers and do not make things up. The paragraph is as follows:\n{input}\nThis is what you need to summarize.",
|
| 2440 |
+
"temperature": 0.1,
|
| 2441 |
+
"top_p": 0.3
|
| 2442 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2443 |
},
|
| 2444 |
+
"upstream": []
|
| 2445 |
+
},
|
| 2446 |
+
"begin": {
|
| 2447 |
+
"downstream": [],
|
| 2448 |
+
"obj": {
|
| 2449 |
+
"component_name": "Begin",
|
| 2450 |
+
"params": {}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2451 |
},
|
| 2452 |
+
"upstream": []
|
| 2453 |
+
}
|
| 2454 |
+
},
|
| 2455 |
+
"graph": {
|
| 2456 |
+
"edges": [],
|
| 2457 |
+
"nodes": [
|
| 2458 |
+
{
|
| 2459 |
+
"data": {
|
| 2460 |
+
"label": "Begin",
|
| 2461 |
+
"name": "begin"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2462 |
},
|
| 2463 |
+
"height": 44,
|
| 2464 |
+
"id": "begin",
|
| 2465 |
+
"position": {
|
| 2466 |
+
"x": 50,
|
| 2467 |
+
"y": 200
|
| 2468 |
+
},
|
| 2469 |
+
"sourcePosition": "left",
|
| 2470 |
+
"targetPosition": "right",
|
| 2471 |
+
"type": "beginNode",
|
| 2472 |
+
"width": 200
|
| 2473 |
},
|
| 2474 |
+
{
|
| 2475 |
+
"data": {
|
| 2476 |
+
"form": {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2477 |
"cite": true,
|
| 2478 |
+
"frequencyPenaltyEnabled": true,
|
| 2479 |
"frequency_penalty": 0.7,
|
|
|
|
| 2480 |
"llm_id": "gpt-4o___OpenAI-API@OpenAI-API-Compatible",
|
| 2481 |
+
"maxTokensEnabled": true,
|
| 2482 |
"max_tokens": 256,
|
| 2483 |
"message_history_window_size": 12,
|
| 2484 |
+
"parameters": [],
|
| 2485 |
+
"presencePenaltyEnabled": true,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2486 |
"presence_penalty": 0.4,
|
| 2487 |
+
"prompt": "Please summarize the following paragraph. Pay attention to the numbers and do not make things up. The paragraph is as follows:\n{input}\nThis is what you need to summarize.",
|
|
|
|
| 2488 |
"temperature": 0.1,
|
| 2489 |
+
"temperatureEnabled": true,
|
| 2490 |
+
"topPEnabled": true,
|
| 2491 |
"top_p": 0.3
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 2492 |
},
|
| 2493 |
+
"label": "Generate",
|
| 2494 |
+
"name": "Generate Answer_0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2495 |
},
|
| 2496 |
+
"dragging": false,
|
| 2497 |
+
"height": 105,
|
| 2498 |
+
"id": "Generate:SocialYearsRemain",
|
| 2499 |
+
"position": {
|
| 2500 |
+
"x": 561.3457829707513,
|
| 2501 |
+
"y": 178.7211182312641
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
| 2502 |
},
|
| 2503 |
+
"positionAbsolute": {
|
| 2504 |
+
"x": 561.3457829707513,
|
| 2505 |
+
"y": 178.7211182312641
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
| 2506 |
},
|
| 2507 |
+
"selected": true,
|
| 2508 |
+
"sourcePosition": "right",
|
| 2509 |
+
"targetPosition": "left",
|
| 2510 |
+
"type": "generateNode",
|
| 2511 |
+
"width": 200
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"data": {
|
| 2515 |
+
"form": {},
|
| 2516 |
+
"label": "Answer",
|
| 2517 |
+
"name": "Dialogue_0"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
| 2518 |
},
|
| 2519 |
+
"height": 44,
|
| 2520 |
+
"id": "Answer:OrangeTermsBurn",
|
| 2521 |
+
"position": {
|
| 2522 |
+
"x": 317.2368194777658,
|
| 2523 |
+
"y": 218.30635555445093
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 2524 |
},
|
| 2525 |
+
"sourcePosition": "right",
|
| 2526 |
+
"targetPosition": "left",
|
| 2527 |
+
"type": "logicNode",
|
| 2528 |
+
"width": 200
|
|
|
|
|
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|
|
| 2529 |
}
|
| 2530 |
+
]
|
|
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|
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|
|
| 2531 |
},
|
| 2532 |
+
"history": [],
|
| 2533 |
+
"messages": [],
|
| 2534 |
+
"path": [],
|
| 2535 |
+
"reference": []
|
| 2536 |
+
},
|
| 2537 |
+
"id": "792dde22b2fa11ef97550242ac120006",
|
| 2538 |
+
"message": [
|
| 2539 |
+
{
|
| 2540 |
+
"content": "Hi! I'm your smart assistant. What can I do for you?",
|
| 2541 |
+
"role": "assistant"
|
| 2542 |
+
}
|
| 2543 |
+
],
|
| 2544 |
+
"source": "agent",
|
| 2545 |
+
"user_id": ""
|
| 2546 |
+
}
|
|
|
|
|
|
|
| 2547 |
}
|
| 2548 |
```
|
| 2549 |
|
|
|
|
| 2605 |
{
|
| 2606 |
"avatar": null,
|
| 2607 |
"canvas_type": null,
|
| 2608 |
+
"create_date": "Thu, 05 Dec 2024 19:10:36 GMT",
|
| 2609 |
+
"create_time": 1733397036424,
|
| 2610 |
"description": null,
|
| 2611 |
"dsl": {
|
| 2612 |
"answer": [],
|
| 2613 |
"components": {
|
|
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|
| 2614 |
"begin": {
|
| 2615 |
+
"downstream": [],
|
|
|
|
|
|
|
| 2616 |
"obj": {
|
| 2617 |
"component_name": "Begin",
|
| 2618 |
+
"params": {}
|
|
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|
|
| 2619 |
},
|
| 2620 |
"upstream": []
|
| 2621 |
}
|
| 2622 |
},
|
|
|
|
| 2623 |
"graph": {
|
| 2624 |
+
"edges": [],
|
|
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|
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|
|
| 2625 |
"nodes": [
|
| 2626 |
{
|
| 2627 |
"data": {
|
|
|
|
| 2638 |
"targetPosition": "right",
|
| 2639 |
"type": "beginNode",
|
| 2640 |
"width": 200
|
|
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|
|
|
|
|
| 2641 |
}
|
| 2642 |
]
|
| 2643 |
},
|
| 2644 |
+
"history": [],
|
| 2645 |
+
"messages": [],
|
| 2646 |
+
"path": [],
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
| 2647 |
"reference": []
|
| 2648 |
},
|
| 2649 |
+
"id": "8d9ca0e2b2f911ef9ca20242ac120006",
|
| 2650 |
+
"title": "123465",
|
| 2651 |
+
"update_date": "Thu, 05 Dec 2024 19:10:56 GMT",
|
| 2652 |
+
"update_time": 1733397056801,
|
| 2653 |
"user_id": "69736c5e723611efb51b0242ac120007"
|
| 2654 |
}
|
| 2655 |
]
|
docs/references/python_api_reference.md
CHANGED
|
@@ -123,7 +123,7 @@ The parser configuration of the dataset. A `ParserConfig` object's attributes va
|
|
| 123 |
### Examples
|
| 124 |
|
| 125 |
```python
|
| 126 |
-
from
|
| 127 |
|
| 128 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 129 |
dataset = rag_object.create_dataset(name="kb_1")
|
|
@@ -265,7 +265,7 @@ A dictionary representing the attributes to update, with the following keys:
|
|
| 265 |
### Examples
|
| 266 |
|
| 267 |
```python
|
| 268 |
-
from
|
| 269 |
|
| 270 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 271 |
dataset = rag_object.list_datasets(name="kb_name")
|
|
@@ -374,7 +374,7 @@ A dictionary representing the attributes to update, with the following keys:
|
|
| 374 |
### Examples
|
| 375 |
|
| 376 |
```python
|
| 377 |
-
from
|
| 378 |
|
| 379 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 380 |
dataset = rag_object.list_datasets(id='id')
|
|
@@ -401,7 +401,7 @@ The downloaded document in bytes.
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### Examples
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| 402 |
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(id="id")
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@@ -509,7 +509,7 @@ A `Document` object contains the following attributes:
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.create_dataset(name="kb_1")
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@@ -545,7 +545,7 @@ The IDs of the documents to delete. Defaults to `None`. If it is not specified,
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(name="kb_1")
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@@ -678,7 +678,7 @@ A `Chunk` object contains the following attributes:
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### Examples
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| 679 |
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(id="123")
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@@ -724,7 +724,7 @@ The ID of the chunk to retrieve. Default: `None`
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets("123")
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@@ -758,7 +758,7 @@ The IDs of the chunks to delete. Defaults to `None`. If it is not specified, all
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### Examples
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| 760 |
```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(id="123")
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@@ -799,7 +799,7 @@ A dictionary representing the attributes to update, with the following keys:
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(id="123")
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@@ -880,7 +880,7 @@ Specifies whether to enable highlighting of matched terms in the results:
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(name="ragflow")
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@@ -978,7 +978,7 @@ Instructions for the LLM to follow. A `Prompt` object contains the following at
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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datasets = rag_object.list_datasets(name="kb_1")
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@@ -1036,7 +1036,7 @@ A dictionary representing the attributes to update, with the following keys:
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### Examples
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| 1038 |
```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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datasets = rag_object.list_datasets(name="kb_1")
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@@ -1069,7 +1069,7 @@ The IDs of the chat assistants to delete. Defaults to `None`. If it is empty or
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### Examples
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| 1070 |
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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rag_object.delete_chats(ids=["id_1","id_2"])
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@@ -1129,7 +1129,7 @@ The name of the chat assistant to retrieve. Defaults to `None`.
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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for assistant in rag_object.list_chats():
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@@ -1170,7 +1170,7 @@ The name of the chat session to create.
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### Examples
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| 1171 |
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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assistant = rag_object.list_chats(name="Miss R")
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@@ -1204,7 +1204,7 @@ A dictionary representing the attributes to update, with only one key:
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### Examples
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| 1205 |
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 1210 |
assistant = rag_object.list_chats(name="Miss R")
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@@ -1267,7 +1267,7 @@ The name of the chat session to retrieve. Defaults to `None`.
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### Examples
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| 1268 |
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| 1269 |
```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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assistant = rag_object.list_chats(name="Miss R")
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@@ -1300,7 +1300,7 @@ The IDs of the sessions to delete. Defaults to `None`. If it is not specified, a
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### Examples
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```python
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-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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assistant = rag_object.list_chats(name="Miss R")
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@@ -1378,7 +1378,7 @@ A list of `Chunk` objects representing references to the message, each containin
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### Examples
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| 1379 |
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```python
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| 1381 |
-
from
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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assistant = rag_object.list_chats(name="Miss R")
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### Examples
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```python
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+
from ragflow_sdk import RAGFlow
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.create_dataset(name="kb_1")
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### Examples
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```python
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+
from ragflow_sdk import RAGFlow
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rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(name="kb_name")
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### Examples
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| 375 |
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```python
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+
from ragflow_sdk import RAGFlow
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| 379 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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dataset = rag_object.list_datasets(id='id')
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| 401 |
### Examples
|
| 402 |
|
| 403 |
```python
|
| 404 |
+
from ragflow_sdk import RAGFlow
|
| 405 |
|
| 406 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 407 |
dataset = rag_object.list_datasets(id="id")
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| 509 |
### Examples
|
| 510 |
|
| 511 |
```python
|
| 512 |
+
from ragflow_sdk import RAGFlow
|
| 513 |
|
| 514 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 515 |
dataset = rag_object.create_dataset(name="kb_1")
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| 545 |
### Examples
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| 546 |
|
| 547 |
```python
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| 548 |
+
from ragflow_sdk import RAGFlow
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| 549 |
|
| 550 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 551 |
dataset = rag_object.list_datasets(name="kb_1")
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| 678 |
### Examples
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| 679 |
|
| 680 |
```python
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| 681 |
+
from ragflow_sdk import RAGFlow
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| 682 |
|
| 683 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 684 |
dataset = rag_object.list_datasets(id="123")
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| 724 |
### Examples
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| 725 |
|
| 726 |
```python
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| 727 |
+
from ragflow_sdk import RAGFlow
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| 728 |
|
| 729 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 730 |
dataset = rag_object.list_datasets("123")
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| 758 |
### Examples
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| 759 |
|
| 760 |
```python
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| 761 |
+
from ragflow_sdk import RAGFlow
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| 762 |
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| 763 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 764 |
dataset = rag_object.list_datasets(id="123")
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| 799 |
### Examples
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| 800 |
|
| 801 |
```python
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| 802 |
+
from ragflow_sdk import RAGFlow
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| 803 |
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| 804 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 805 |
dataset = rag_object.list_datasets(id="123")
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| 880 |
### Examples
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| 881 |
|
| 882 |
```python
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| 883 |
+
from ragflow_sdk import RAGFlow
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| 884 |
|
| 885 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 886 |
dataset = rag_object.list_datasets(name="ragflow")
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| 978 |
### Examples
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| 979 |
|
| 980 |
```python
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| 981 |
+
from ragflow_sdk import RAGFlow
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| 982 |
|
| 983 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 984 |
datasets = rag_object.list_datasets(name="kb_1")
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| 1036 |
### Examples
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| 1037 |
|
| 1038 |
```python
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| 1039 |
+
from ragflow_sdk import RAGFlow
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| 1040 |
|
| 1041 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 1042 |
datasets = rag_object.list_datasets(name="kb_1")
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| 1069 |
### Examples
|
| 1070 |
|
| 1071 |
```python
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| 1072 |
+
from ragflow_sdk import RAGFlow
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| 1073 |
|
| 1074 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 1075 |
rag_object.delete_chats(ids=["id_1","id_2"])
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| 1129 |
### Examples
|
| 1130 |
|
| 1131 |
```python
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| 1132 |
+
from ragflow_sdk import RAGFlow
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| 1133 |
|
| 1134 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 1135 |
for assistant in rag_object.list_chats():
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| 1170 |
### Examples
|
| 1171 |
|
| 1172 |
```python
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| 1173 |
+
from ragflow_sdk import RAGFlow
|
| 1174 |
|
| 1175 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
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| 1176 |
assistant = rag_object.list_chats(name="Miss R")
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| 1204 |
### Examples
|
| 1205 |
|
| 1206 |
```python
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| 1207 |
+
from ragflow_sdk import RAGFlow
|
| 1208 |
|
| 1209 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 1210 |
assistant = rag_object.list_chats(name="Miss R")
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|
| 1267 |
### Examples
|
| 1268 |
|
| 1269 |
```python
|
| 1270 |
+
from ragflow_sdk import RAGFlow
|
| 1271 |
|
| 1272 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 1273 |
assistant = rag_object.list_chats(name="Miss R")
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|
| 1300 |
### Examples
|
| 1301 |
|
| 1302 |
```python
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| 1303 |
+
from ragflow_sdk import RAGFlow
|
| 1304 |
|
| 1305 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 1306 |
assistant = rag_object.list_chats(name="Miss R")
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|
| 1378 |
### Examples
|
| 1379 |
|
| 1380 |
```python
|
| 1381 |
+
from ragflow_sdk import RAGFlow
|
| 1382 |
|
| 1383 |
rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
|
| 1384 |
assistant = rag_object.list_chats(name="Miss R")
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