Flowise

Форк
0
/
Chat with a Podcast.json 
679 строк · 30.0 Кб
1
{
2
    "description": "Engage with data sources such as YouTube Transcripts, Google, and more through intelligent Q&A interactions",
3
    "categories": "Memory Vector Store,SearchAPI,ChatOpenAI,Conversational Retrieval QA Chain,Langchain",
4
    "framework": "Langchain",
5
    "nodes": [
6
        {
7
            "width": 300,
8
            "height": 483,
9
            "id": "conversationalRetrievalQAChain_0",
10
            "position": {
11
                "x": 1499.2693059023254,
12
                "y": 430.03911199833317
13
            },
14
            "type": "customNode",
15
            "data": {
16
                "id": "conversationalRetrievalQAChain_0",
17
                "label": "Conversational Retrieval QA Chain",
18
                "version": 3,
19
                "name": "conversationalRetrievalQAChain",
20
                "type": "ConversationalRetrievalQAChain",
21
                "baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
22
                "category": "Chains",
23
                "description": "Document QA - built on RetrievalQAChain to provide a chat history component",
24
                "inputParams": [
25
                    {
26
                        "label": "Return Source Documents",
27
                        "name": "returnSourceDocuments",
28
                        "type": "boolean",
29
                        "optional": true,
30
                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
31
                    },
32
                    {
33
                        "label": "Rephrase Prompt",
34
                        "name": "rephrasePrompt",
35
                        "type": "string",
36
                        "description": "Using previous chat history, rephrase question into a standalone question",
37
                        "warning": "Prompt must include input variables: {chat_history} and {question}",
38
                        "rows": 4,
39
                        "additionalParams": true,
40
                        "optional": true,
41
                        "default": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
42
                        "id": "conversationalRetrievalQAChain_0-input-rephrasePrompt-string"
43
                    },
44
                    {
45
                        "label": "Response Prompt",
46
                        "name": "responsePrompt",
47
                        "type": "string",
48
                        "description": "Taking the rephrased question, search for answer from the provided context",
49
                        "warning": "Prompt must include input variable: {context}",
50
                        "rows": 4,
51
                        "additionalParams": true,
52
                        "optional": true,
53
                        "default": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.",
54
                        "id": "conversationalRetrievalQAChain_0-input-responsePrompt-string"
55
                    }
56
                ],
57
                "inputAnchors": [
58
                    {
59
                        "label": "Chat Model",
60
                        "name": "model",
61
                        "type": "BaseChatModel",
62
                        "id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
63
                    },
64
                    {
65
                        "label": "Vector Store Retriever",
66
                        "name": "vectorStoreRetriever",
67
                        "type": "BaseRetriever",
68
                        "id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
69
                    },
70
                    {
71
                        "label": "Memory",
72
                        "name": "memory",
73
                        "type": "BaseMemory",
74
                        "optional": true,
75
                        "description": "If left empty, a default BufferMemory will be used",
76
                        "id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
77
                    },
78
                    {
79
                        "label": "Input Moderation",
80
                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
81
                        "name": "inputModeration",
82
                        "type": "Moderation",
83
                        "optional": true,
84
                        "list": true,
85
                        "id": "conversationalRetrievalQAChain_0-input-inputModeration-Moderation"
86
                    }
87
                ],
88
                "inputs": {
89
                    "inputModeration": "",
90
                    "model": "{{chatOpenAI_0.data.instance}}",
91
                    "vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
92
                    "memory": "",
93
                    "rephrasePrompt": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.\n\nChat History:\n{chat_history}\nFollow Up Input: {question}\nStandalone Question:",
94
                    "responsePrompt": "You are a helpful assistant. Using the provided context, answer the user's question to the best of your ability using the resources provided.\nIf there is nothing in the context relevant to the question at hand, just say \"Hmm, I'm not sure.\" Don't try to make up an answer.\n------------\n{context}\n------------\nREMEMBER: If there is no relevant information within the context, just say \"Hmm, I'm not sure.\" Don't try to make up an answer."
95
                },
96
                "outputAnchors": [
97
                    {
98
                        "id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
99
                        "name": "conversationalRetrievalQAChain",
100
                        "label": "ConversationalRetrievalQAChain",
101
                        "type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
102
                    }
103
                ],
104
                "outputs": {},
105
                "selected": false
106
            },
107
            "selected": false,
108
            "positionAbsolute": {
109
                "x": 1499.2693059023254,
110
                "y": 430.03911199833317
111
            },
112
            "dragging": false
113
        },
114
        {
115
            "width": 300,
116
            "height": 408,
117
            "id": "memoryVectorStore_0",
118
            "position": {
119
                "x": 1082.0280622332507,
120
                "y": 589.9990964387842
121
            },
122
            "type": "customNode",
123
            "data": {
124
                "id": "memoryVectorStore_0",
125
                "label": "In-Memory Vector Store",
126
                "version": 1,
127
                "name": "memoryVectorStore",
128
                "type": "Memory",
129
                "baseClasses": ["Memory", "VectorStoreRetriever", "BaseRetriever"],
130
                "category": "Vector Stores",
131
                "description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
132
                "inputParams": [
133
                    {
134
                        "label": "Top K",
135
                        "name": "topK",
136
                        "description": "Number of top results to fetch. Default to 4",
137
                        "placeholder": "4",
138
                        "type": "number",
139
                        "optional": true,
140
                        "id": "memoryVectorStore_0-input-topK-number"
141
                    }
142
                ],
143
                "inputAnchors": [
144
                    {
145
                        "label": "Document",
146
                        "name": "document",
147
                        "type": "Document",
148
                        "list": true,
149
                        "id": "memoryVectorStore_0-input-document-Document"
150
                    },
151
                    {
152
                        "label": "Embeddings",
153
                        "name": "embeddings",
154
                        "type": "Embeddings",
155
                        "id": "memoryVectorStore_0-input-embeddings-Embeddings"
156
                    }
157
                ],
158
                "inputs": {
159
                    "document": ["{{searchApi_0.data.instance}}", "{{searchApi_0.data.instance}}", "{{searchApi_0.data.instance}}"],
160
                    "embeddings": "{{openAIEmbeddings_0.data.instance}}",
161
                    "topK": ""
162
                },
163
                "outputAnchors": [
164
                    {
165
                        "name": "output",
166
                        "label": "Output",
167
                        "type": "options",
168
                        "options": [
169
                            {
170
                                "id": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
171
                                "name": "retriever",
172
                                "label": "Memory Retriever",
173
                                "type": "Memory | VectorStoreRetriever | BaseRetriever"
174
                            },
175
                            {
176
                                "id": "memoryVectorStore_0-output-vectorStore-Memory|VectorStore",
177
                                "name": "vectorStore",
178
                                "label": "Memory Vector Store",
179
                                "type": "Memory | VectorStore"
180
                            }
181
                        ],
182
                        "default": "retriever"
183
                    }
184
                ],
185
                "outputs": {
186
                    "output": "retriever"
187
                },
188
                "selected": false
189
            },
190
            "positionAbsolute": {
191
                "x": 1082.0280622332507,
192
                "y": 589.9990964387842
193
            },
194
            "selected": false,
195
            "dragging": false
196
        },
197
        {
198
            "width": 300,
199
            "height": 577,
200
            "id": "chatOpenAI_0",
201
            "position": {
202
                "x": 1056.2788608917747,
203
                "y": -60.59149112477064
204
            },
205
            "type": "customNode",
206
            "data": {
207
                "id": "chatOpenAI_0",
208
                "label": "ChatOpenAI",
209
                "version": 6.0,
210
                "name": "chatOpenAI",
211
                "type": "ChatOpenAI",
212
                "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
213
                "category": "Chat Models",
214
                "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
215
                "inputParams": [
216
                    {
217
                        "label": "Connect Credential",
218
                        "name": "credential",
219
                        "type": "credential",
220
                        "credentialNames": ["openAIApi"],
221
                        "id": "chatOpenAI_0-input-credential-credential"
222
                    },
223
                    {
224
                        "label": "Model Name",
225
                        "name": "modelName",
226
                        "type": "asyncOptions",
227
                        "loadMethod": "listModels",
228
                        "default": "gpt-3.5-turbo",
229
                        "id": "chatOpenAI_0-input-modelName-options"
230
                    },
231
                    {
232
                        "label": "Temperature",
233
                        "name": "temperature",
234
                        "type": "number",
235
                        "step": 0.1,
236
                        "default": 0.9,
237
                        "optional": true,
238
                        "id": "chatOpenAI_0-input-temperature-number"
239
                    },
240
                    {
241
                        "label": "Max Tokens",
242
                        "name": "maxTokens",
243
                        "type": "number",
244
                        "step": 1,
245
                        "optional": true,
246
                        "additionalParams": true,
247
                        "id": "chatOpenAI_0-input-maxTokens-number"
248
                    },
249
                    {
250
                        "label": "Top Probability",
251
                        "name": "topP",
252
                        "type": "number",
253
                        "step": 0.1,
254
                        "optional": true,
255
                        "additionalParams": true,
256
                        "id": "chatOpenAI_0-input-topP-number"
257
                    },
258
                    {
259
                        "label": "Frequency Penalty",
260
                        "name": "frequencyPenalty",
261
                        "type": "number",
262
                        "step": 0.1,
263
                        "optional": true,
264
                        "additionalParams": true,
265
                        "id": "chatOpenAI_0-input-frequencyPenalty-number"
266
                    },
267
                    {
268
                        "label": "Presence Penalty",
269
                        "name": "presencePenalty",
270
                        "type": "number",
271
                        "step": 0.1,
272
                        "optional": true,
273
                        "additionalParams": true,
274
                        "id": "chatOpenAI_0-input-presencePenalty-number"
275
                    },
276
                    {
277
                        "label": "Timeout",
278
                        "name": "timeout",
279
                        "type": "number",
280
                        "step": 1,
281
                        "optional": true,
282
                        "additionalParams": true,
283
                        "id": "chatOpenAI_0-input-timeout-number"
284
                    },
285
                    {
286
                        "label": "BasePath",
287
                        "name": "basepath",
288
                        "type": "string",
289
                        "optional": true,
290
                        "additionalParams": true,
291
                        "id": "chatOpenAI_0-input-basepath-string"
292
                    },
293
                    {
294
                        "label": "BaseOptions",
295
                        "name": "baseOptions",
296
                        "type": "json",
297
                        "optional": true,
298
                        "additionalParams": true,
299
                        "id": "chatOpenAI_0-input-baseOptions-json"
300
                    },
301
                    {
302
                        "label": "Allow Image Uploads",
303
                        "name": "allowImageUploads",
304
                        "type": "boolean",
305
                        "description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
306
                        "default": false,
307
                        "optional": true,
308
                        "id": "chatOpenAI_0-input-allowImageUploads-boolean"
309
                    },
310
                    {
311
                        "label": "Image Resolution",
312
                        "description": "This parameter controls the resolution in which the model views the image.",
313
                        "name": "imageResolution",
314
                        "type": "options",
315
                        "options": [
316
                            {
317
                                "label": "Low",
318
                                "name": "low"
319
                            },
320
                            {
321
                                "label": "High",
322
                                "name": "high"
323
                            },
324
                            {
325
                                "label": "Auto",
326
                                "name": "auto"
327
                            }
328
                        ],
329
                        "default": "low",
330
                        "optional": false,
331
                        "additionalParams": true,
332
                        "id": "chatOpenAI_0-input-imageResolution-options"
333
                    }
334
                ],
335
                "inputAnchors": [
336
                    {
337
                        "label": "Cache",
338
                        "name": "cache",
339
                        "type": "BaseCache",
340
                        "optional": true,
341
                        "id": "chatOpenAI_0-input-cache-BaseCache"
342
                    }
343
                ],
344
                "inputs": {
345
                    "cache": "",
346
                    "modelName": "gpt-3.5-turbo",
347
                    "temperature": "0.5",
348
                    "maxTokens": "",
349
                    "topP": "",
350
                    "frequencyPenalty": "",
351
                    "presencePenalty": "",
352
                    "timeout": "",
353
                    "basepath": "",
354
                    "baseOptions": "",
355
                    "allowImageUploads": true,
356
                    "imageResolution": "low"
357
                },
358
                "outputAnchors": [
359
                    {
360
                        "id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
361
                        "name": "chatOpenAI",
362
                        "label": "ChatOpenAI",
363
                        "type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
364
                    }
365
                ],
366
                "outputs": {},
367
                "selected": false
368
            },
369
            "selected": false,
370
            "positionAbsolute": {
371
                "x": 1056.2788608917747,
372
                "y": -60.59149112477064
373
            },
374
            "dragging": false
375
        },
376
        {
377
            "width": 300,
378
            "height": 478,
379
            "id": "characterTextSplitter_0",
380
            "position": {
381
                "x": 260.5475803279806,
382
                "y": -65.1647664861618
383
            },
384
            "type": "customNode",
385
            "data": {
386
                "id": "characterTextSplitter_0",
387
                "label": "Character Text Splitter",
388
                "version": 1,
389
                "name": "characterTextSplitter",
390
                "type": "CharacterTextSplitter",
391
                "baseClasses": ["CharacterTextSplitter", "TextSplitter", "BaseDocumentTransformer", "Runnable"],
392
                "category": "Text Splitters",
393
                "description": "splits only on one type of character (defaults to \"\\n\\n\").",
394
                "inputParams": [
395
                    {
396
                        "label": "Chunk Size",
397
                        "name": "chunkSize",
398
                        "type": "number",
399
                        "default": 1000,
400
                        "optional": true,
401
                        "id": "characterTextSplitter_0-input-chunkSize-number"
402
                    },
403
                    {
404
                        "label": "Chunk Overlap",
405
                        "name": "chunkOverlap",
406
                        "type": "number",
407
                        "optional": true,
408
                        "id": "characterTextSplitter_0-input-chunkOverlap-number"
409
                    },
410
                    {
411
                        "label": "Custom Separator",
412
                        "name": "separator",
413
                        "type": "string",
414
                        "placeholder": "\" \"",
415
                        "description": "Seperator to determine when to split the text, will override the default separator",
416
                        "optional": true,
417
                        "id": "characterTextSplitter_0-input-separator-string"
418
                    }
419
                ],
420
                "inputAnchors": [],
421
                "inputs": {
422
                    "chunkSize": "2000",
423
                    "chunkOverlap": "200",
424
                    "separator": ""
425
                },
426
                "outputAnchors": [
427
                    {
428
                        "id": "characterTextSplitter_0-output-characterTextSplitter-CharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable",
429
                        "name": "characterTextSplitter",
430
                        "label": "CharacterTextSplitter",
431
                        "type": "CharacterTextSplitter | TextSplitter | BaseDocumentTransformer | Runnable"
432
                    }
433
                ],
434
                "outputs": {},
435
                "selected": false
436
            },
437
            "selected": false,
438
            "positionAbsolute": {
439
                "x": 260.5475803279806,
440
                "y": -65.1647664861618
441
            },
442
            "dragging": false
443
        },
444
        {
445
            "width": 300,
446
            "height": 332,
447
            "id": "openAIEmbeddings_0",
448
            "position": {
449
                "x": 666.3950526535211,
450
                "y": 777.4191705193945
451
            },
452
            "type": "customNode",
453
            "data": {
454
                "id": "openAIEmbeddings_0",
455
                "label": "OpenAI Embeddings",
456
                "version": 3,
457
                "name": "openAIEmbeddings",
458
                "type": "OpenAIEmbeddings",
459
                "baseClasses": ["OpenAIEmbeddings", "Embeddings"],
460
                "category": "Embeddings",
461
                "description": "OpenAI API to generate embeddings for a given text",
462
                "inputParams": [
463
                    {
464
                        "label": "Connect Credential",
465
                        "name": "credential",
466
                        "type": "credential",
467
                        "credentialNames": ["openAIApi"],
468
                        "id": "openAIEmbeddings_0-input-credential-credential"
469
                    },
470
                    {
471
                        "label": "Model Name",
472
                        "name": "modelName",
473
                        "type": "asyncOptions",
474
                        "loadMethod": "listModels",
475
                        "default": "text-embedding-ada-002",
476
                        "id": "openAIEmbeddings_0-input-modelName-options"
477
                    },
478
                    {
479
                        "label": "Strip New Lines",
480
                        "name": "stripNewLines",
481
                        "type": "boolean",
482
                        "optional": true,
483
                        "additionalParams": true,
484
                        "id": "openAIEmbeddings_0-input-stripNewLines-boolean"
485
                    },
486
                    {
487
                        "label": "Batch Size",
488
                        "name": "batchSize",
489
                        "type": "number",
490
                        "optional": true,
491
                        "additionalParams": true,
492
                        "id": "openAIEmbeddings_0-input-batchSize-number"
493
                    },
494
                    {
495
                        "label": "Timeout",
496
                        "name": "timeout",
497
                        "type": "number",
498
                        "optional": true,
499
                        "additionalParams": true,
500
                        "id": "openAIEmbeddings_0-input-timeout-number"
501
                    },
502
                    {
503
                        "label": "BasePath",
504
                        "name": "basepath",
505
                        "type": "string",
506
                        "optional": true,
507
                        "additionalParams": true,
508
                        "id": "openAIEmbeddings_0-input-basepath-string"
509
                    }
510
                ],
511
                "inputAnchors": [],
512
                "inputs": {
513
                    "stripNewLines": "",
514
                    "batchSize": "",
515
                    "timeout": "",
516
                    "basepath": "",
517
                    "modelName": "text-embedding-ada-002"
518
                },
519
                "outputAnchors": [
520
                    {
521
                        "id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
522
                        "name": "openAIEmbeddings",
523
                        "label": "OpenAIEmbeddings",
524
                        "type": "OpenAIEmbeddings | Embeddings"
525
                    }
526
                ],
527
                "outputs": {},
528
                "selected": false
529
            },
530
            "selected": false,
531
            "dragging": false,
532
            "positionAbsolute": {
533
                "x": 666.3950526535211,
534
                "y": 777.4191705193945
535
            }
536
        },
537
        {
538
            "width": 300,
539
            "height": 482,
540
            "id": "searchApi_0",
541
            "position": {
542
                "x": 680.1258121447145,
543
                "y": 144.9905217023999
544
            },
545
            "type": "customNode",
546
            "data": {
547
                "id": "searchApi_0",
548
                "label": "SearchApi",
549
                "version": 1,
550
                "name": "searchApi",
551
                "type": "Document",
552
                "baseClasses": ["Document"],
553
                "category": "Document Loaders",
554
                "description": "Load data from real-time search results",
555
                "inputParams": [
556
                    {
557
                        "label": "Connect Credential",
558
                        "name": "credential",
559
                        "type": "credential",
560
                        "optional": false,
561
                        "credentialNames": ["searchApi"],
562
                        "id": "searchApi_0-input-credential-credential"
563
                    },
564
                    {
565
                        "label": "Query",
566
                        "name": "query",
567
                        "type": "string",
568
                        "optional": true,
569
                        "id": "searchApi_0-input-query-string"
570
                    },
571
                    {
572
                        "label": "Custom Parameters",
573
                        "name": "customParameters",
574
                        "type": "json",
575
                        "optional": true,
576
                        "additionalParams": true,
577
                        "id": "searchApi_0-input-customParameters-json"
578
                    },
579
                    {
580
                        "label": "Metadata",
581
                        "name": "metadata",
582
                        "type": "json",
583
                        "optional": true,
584
                        "additionalParams": true,
585
                        "id": "searchApi_0-input-metadata-json"
586
                    }
587
                ],
588
                "inputAnchors": [
589
                    {
590
                        "label": "Text Splitter",
591
                        "name": "textSplitter",
592
                        "type": "TextSplitter",
593
                        "optional": true,
594
                        "id": "searchApi_0-input-textSplitter-TextSplitter"
595
                    }
596
                ],
597
                "inputs": {
598
                    "query": "",
599
                    "customParameters": "{\"engine\":\"youtube_transcripts\",\"video_id\":\"0e3GPea1Tyg\"}",
600
                    "textSplitter": "{{characterTextSplitter_0.data.instance}}",
601
                    "metadata": ""
602
                },
603
                "outputAnchors": [
604
                    {
605
                        "id": "searchApi_0-output-searchApi-Document",
606
                        "name": "searchApi",
607
                        "label": "Document",
608
                        "type": "Document"
609
                    }
610
                ],
611
                "outputs": {},
612
                "selected": false
613
            },
614
            "selected": false,
615
            "positionAbsolute": {
616
                "x": 680.1258121447145,
617
                "y": 144.9905217023999
618
            },
619
            "dragging": false
620
        }
621
    ],
622
    "edges": [
623
        {
624
            "source": "memoryVectorStore_0",
625
            "sourceHandle": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
626
            "target": "conversationalRetrievalQAChain_0",
627
            "targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
628
            "type": "buttonedge",
629
            "id": "memoryVectorStore_0-memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
630
            "data": {
631
                "label": ""
632
            }
633
        },
634
        {
635
            "source": "chatOpenAI_0",
636
            "sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
637
            "target": "conversationalRetrievalQAChain_0",
638
            "targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseChatModel",
639
            "type": "buttonedge",
640
            "id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseChatModel",
641
            "data": {
642
                "label": ""
643
            }
644
        },
645
        {
646
            "source": "openAIEmbeddings_0",
647
            "sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
648
            "target": "memoryVectorStore_0",
649
            "targetHandle": "memoryVectorStore_0-input-embeddings-Embeddings",
650
            "type": "buttonedge",
651
            "id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-memoryVectorStore_0-memoryVectorStore_0-input-embeddings-Embeddings",
652
            "data": {
653
                "label": ""
654
            }
655
        },
656
        {
657
            "source": "characterTextSplitter_0",
658
            "sourceHandle": "characterTextSplitter_0-output-characterTextSplitter-CharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable",
659
            "target": "searchApi_0",
660
            "targetHandle": "searchApi_0-input-textSplitter-TextSplitter",
661
            "type": "buttonedge",
662
            "id": "characterTextSplitter_0-characterTextSplitter_0-output-characterTextSplitter-CharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable-searchApi_0-searchApi_0-input-textSplitter-TextSplitter",
663
            "data": {
664
                "label": ""
665
            }
666
        },
667
        {
668
            "source": "searchApi_0",
669
            "sourceHandle": "searchApi_0-output-searchApi-Document",
670
            "target": "memoryVectorStore_0",
671
            "targetHandle": "memoryVectorStore_0-input-document-Document",
672
            "type": "buttonedge",
673
            "id": "searchApi_0-searchApi_0-output-searchApi-Document-memoryVectorStore_0-memoryVectorStore_0-input-document-Document",
674
            "data": {
675
                "label": ""
676
            }
677
        }
678
    ]
679
}
680

Использование cookies

Мы используем файлы cookie в соответствии с Политикой конфиденциальности и Политикой использования cookies.

Нажимая кнопку «Принимаю», Вы даете АО «СберТех» согласие на обработку Ваших персональных данных в целях совершенствования нашего веб-сайта и Сервиса GitVerse, а также повышения удобства их использования.

Запретить использование cookies Вы можете самостоятельно в настройках Вашего браузера.