Update vectara template
This commit is contained in:
Seif
parent
7a33a4dcaa
commit
d3d18a8e43
|
|
@ -1,11 +1,125 @@
|
|||
{
|
||||
"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded documents",
|
||||
"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded files",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 524,
|
||||
"id": "vectaraUpload_0",
|
||||
"position": { "x": 219.0098475967174, "y": 189.74396248534583 },
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "vectaraUpload_0",
|
||||
"label": "Vectara Upload File",
|
||||
"version": 1,
|
||||
"name": "vectaraUpload",
|
||||
"type": "Vectara",
|
||||
"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upload files to Vectara",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["vectaraApi"],
|
||||
"id": "vectaraUpload_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "File",
|
||||
"name": "file",
|
||||
"description": "File to upload to Vectara. Supported file types: https://docs.vectara.com/docs/api-reference/indexing-apis/file-upload/file-upload-filetypes",
|
||||
"type": "file",
|
||||
"id": "vectaraUpload_0-input-file-file"
|
||||
},
|
||||
{
|
||||
"label": "Vectara Metadata Filter",
|
||||
"name": "filter",
|
||||
"description": "Filter to apply to Vectara metadata. Refer to the <a target=\"_blank\" href=\"https://docs.flowiseai.com/vector-stores/vectara\">documentation</a> on how to use Vectara filters with Flowise.",
|
||||
"type": "string",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpload_0-input-filter-string"
|
||||
},
|
||||
{
|
||||
"label": "Sentences Before",
|
||||
"name": "sentencesBefore",
|
||||
"description": "Number of sentences to fetch before the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpload_0-input-sentencesBefore-number"
|
||||
},
|
||||
{
|
||||
"label": "Sentences After",
|
||||
"name": "sentencesAfter",
|
||||
"description": "Number of sentences to fetch after the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpload_0-input-sentencesAfter-number"
|
||||
},
|
||||
{
|
||||
"label": "Lambda",
|
||||
"name": "lambda",
|
||||
"description": "Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpload_0-input-lambda-number"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Defaults to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpload_0-input-topK-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"filter": "",
|
||||
"sentencesBefore": "",
|
||||
"sentencesAfter": "",
|
||||
"lambda": "",
|
||||
"topK": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "vectaraUpload_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Vectara Retriever",
|
||||
"type": "Vectara | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "vectaraUpload_0-output-vectorStore-Vectara|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Vectara Vector Store",
|
||||
"type": "Vectara | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": { "output": "retriever" },
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": { "x": 219.0098475967174, "y": 189.74396248534583 },
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 525,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": { "x": 514.1088940275924, "y": 199.574479681537 },
|
||||
"position": { "x": 669.6533996522251, "y": 177.86181519287192 },
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
|
|
@ -13,7 +127,7 @@
|
|||
"version": 1,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
|
|
@ -36,7 +150,10 @@
|
|||
{ "label": "gpt-3.5-turbo", "name": "gpt-3.5-turbo" },
|
||||
{ "label": "gpt-3.5-turbo-0613", "name": "gpt-3.5-turbo-0613" },
|
||||
{ "label": "gpt-3.5-turbo-16k", "name": "gpt-3.5-turbo-16k" },
|
||||
{ "label": "gpt-3.5-turbo-16k-0613", "name": "gpt-3.5-turbo-16k-0613" }
|
||||
{
|
||||
"label": "gpt-3.5-turbo-16k-0613",
|
||||
"name": "gpt-3.5-turbo-16k-0613"
|
||||
}
|
||||
],
|
||||
"default": "gpt-3.5-turbo",
|
||||
"optional": true,
|
||||
|
|
@ -103,6 +220,14 @@
|
|||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-baseOptions-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
|
|
@ -114,28 +239,29 @@
|
|||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": ""
|
||||
"basepath": "",
|
||||
"baseOptions": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": { "x": 514.1088940275924, "y": 199.574479681537 },
|
||||
"positionAbsolute": { "x": 669.6533996522251, "y": 177.86181519287192 },
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 481,
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"position": { "x": 900.4793407261002, "y": 205.9476004518217 },
|
||||
"position": { "x": 1135.5490908971935, "y": 201.62146241822506 },
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
|
|
@ -143,7 +269,7 @@
|
|||
"version": 1,
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
|
|
@ -214,234 +340,45 @@
|
|||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{vectaraUpsert_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{vectaraUpload_0.data.instance}}",
|
||||
"memory": "",
|
||||
"returnSourceDocuments": "",
|
||||
"returnSourceDocuments": true,
|
||||
"systemMessagePrompt": "",
|
||||
"chainOption": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
|
||||
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|Runnable",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"label": "ConversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain | BaseChain"
|
||||
"type": "ConversationalRetrievalQAChain | BaseChain | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": { "x": 900.4793407261002, "y": 205.9476004518217 },
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 509,
|
||||
"id": "pdfFile_0",
|
||||
"position": { "x": -210.44158723479913, "y": 236.6627524951051 },
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "pdfFile_0",
|
||||
"label": "Pdf File",
|
||||
"version": 1,
|
||||
"name": "pdfFile",
|
||||
"type": "Document",
|
||||
"baseClasses": ["Document"],
|
||||
"category": "Document Loaders",
|
||||
"description": "Load data from PDF files",
|
||||
"inputParams": [
|
||||
{ "label": "Pdf File", "name": "pdfFile", "type": "file", "fileType": ".pdf", "id": "pdfFile_0-input-pdfFile-file" },
|
||||
{
|
||||
"label": "Usage",
|
||||
"name": "usage",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{ "label": "One document per page", "name": "perPage" },
|
||||
{ "label": "One document per file", "name": "perFile" }
|
||||
],
|
||||
"default": "perPage",
|
||||
"id": "pdfFile_0-input-usage-options"
|
||||
},
|
||||
{
|
||||
"label": "Use Legacy Build",
|
||||
"name": "legacyBuild",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "pdfFile_0-input-legacyBuild-boolean"
|
||||
},
|
||||
{
|
||||
"label": "Metadata",
|
||||
"name": "metadata",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "pdfFile_0-input-metadata-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Text Splitter",
|
||||
"name": "textSplitter",
|
||||
"type": "TextSplitter",
|
||||
"optional": true,
|
||||
"id": "pdfFile_0-input-textSplitter-TextSplitter"
|
||||
}
|
||||
],
|
||||
"inputs": { "textSplitter": "", "usage": "perPage", "legacyBuild": "", "metadata": "" },
|
||||
"outputAnchors": [
|
||||
{ "id": "pdfFile_0-output-pdfFile-Document", "name": "pdfFile", "label": "Document", "type": "Document" }
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": { "x": -210.44158723479913, "y": 236.6627524951051 },
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 408,
|
||||
"id": "vectaraUpsert_0",
|
||||
"position": { "x": 172.06946164914868, "y": 373.11406233089934 },
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "vectaraUpsert_0",
|
||||
"label": "Vectara Upsert Document",
|
||||
"version": 1,
|
||||
"name": "vectaraUpsert",
|
||||
"type": "Vectara",
|
||||
"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
|
||||
"category": "Vector Stores",
|
||||
"description": "Upsert documents to Vectara",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["vectaraApi"],
|
||||
"id": "vectaraUpsert_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Vectara Metadata Filter",
|
||||
"name": "filter",
|
||||
"description": "Filter to apply to Vectara metadata. Refer to the <a target=\"_blank\" href=\"https://docs.flowiseai.com/vector-stores/vectara\">documentation</a> on how to use Vectara filters with Flowise.",
|
||||
"type": "string",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpsert_0-input-filter-string"
|
||||
},
|
||||
{
|
||||
"label": "Sentences Before",
|
||||
"name": "sentencesBefore",
|
||||
"description": "Number of sentences to fetch before the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpsert_0-input-sentencesBefore-number"
|
||||
},
|
||||
{
|
||||
"label": "Sentences After",
|
||||
"name": "sentencesAfter",
|
||||
"description": "Number of sentences to fetch after the matched sentence. Defaults to 2.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpsert_0-input-sentencesAfter-number"
|
||||
},
|
||||
{
|
||||
"label": "Lambda",
|
||||
"name": "lambda",
|
||||
"description": "Improves retrieval accuracy by adjusting the balance (from 0 to 1) between neural search and keyword-based search factors.",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpsert_0-input-lambda-number"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Defaults to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "vectaraUpsert_0-input-topK-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"id": "vectaraUpsert_0-input-document-Document"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": ["{{pdfFile_0.data.instance}}"],
|
||||
"filter": "",
|
||||
"sentencesBefore": "",
|
||||
"sentencesAfter": "",
|
||||
"lambda": "",
|
||||
"topK": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Vectara Retriever",
|
||||
"type": "Vectara | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "vectaraUpsert_0-output-vectorStore-Vectara|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Vectara Vector Store",
|
||||
"type": "Vectara | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": { "output": "retriever" },
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": { "x": 172.06946164914868, "y": 373.11406233089934 },
|
||||
"selected": false
|
||||
"dragging": false,
|
||||
"positionAbsolute": { "x": 1135.5490908971935, "y": 201.62146241822506 }
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": { "label": "" }
|
||||
},
|
||||
{
|
||||
"source": "pdfFile_0",
|
||||
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
|
||||
"target": "vectaraUpsert_0",
|
||||
"targetHandle": "vectaraUpsert_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-vectaraUpsert_0-vectaraUpsert_0-input-document-Document",
|
||||
"data": { "label": "" }
|
||||
},
|
||||
{
|
||||
"source": "vectaraUpsert_0",
|
||||
"sourceHandle": "vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||
"source": "vectaraUpload_0",
|
||||
"sourceHandle": "vectaraUpload_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "vectaraUpsert_0-vectaraUpsert_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"id": "vectaraUpload_0-vectaraUpload_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": { "label": "" }
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": { "label": "" }
|
||||
}
|
||||
]
|
||||
|
|
|
|||
Loading…
Reference in New Issue