Merge pull request #757 from vectara/vectara-branch2
Add Vectara templates to marketplace
This commit is contained in:
Henry Heng
GitHub
commit
fb115a5f69
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@ -0,0 +1,446 @@
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{
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"description": "A simple LLM chain that uses Vectara to enable conversations with uploaded documents",
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"nodes": [
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{
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"width": 300,
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"height": 408,
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"id": "vectaraExisting_0",
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"position": { "x": 438, "y": 214 },
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"type": "customNode",
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"data": {
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"id": "vectaraExisting_0",
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"label": "Vectara Upsert Document",
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"version": 1,
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"name": "vectaraExisting",
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"type": "Vectara",
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"baseClasses": ["Vectara", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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"description": "Upsert documents to Vectara",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["vectaraApi"],
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"id": "vectaraExisting_0-input-credential-credential"
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},
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{
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"label": "Filter",
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"name": "filter",
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"type": "json",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_0-input-filter-json"
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},
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{
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"label": "Lambda",
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"name": "lambda",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_0-input-lambda-number"
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},
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{
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"label": "Top K",
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"name": "topK",
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"description": "Number of top results to fetch. Defaults to 4",
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"placeholder": "4",
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"type": "number",
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"additionalParams": true,
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"optional": true,
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"id": "vectaraExisting_0-input-topK-number"
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}
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],
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"inputAnchors": [
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{
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"label": "Document",
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"name": "document",
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"type": "Document",
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"list": true,
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"id": "vectaraExisting_0-input-document-Document"
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}
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],
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"inputs": {
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"document": ["{{pdfFile_0.data.instance}}"],
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"filter": "",
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"lambda": "",
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"topK": ""
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},
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"outputAnchors": [
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{
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"name": "output",
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"label": "Output",
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"type": "options",
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"options": [
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{
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"id": "vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Vectara Retriever",
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"type": "Vectara | VectorStoreRetriever | BaseRetriever"
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},
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{
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"id": "vectaraExisting_0-output-vectorStore-Vectara|VectorStore",
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"name": "vectorStore",
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"label": "Vectara Vector Store",
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"type": "Vectara | VectorStore"
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}
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],
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"default": "retriever"
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}
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],
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"outputs": { "output": "retriever" },
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"selected": false
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},
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"selected": false,
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"dragging": false,
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"positionAbsolute": { "x": 438, "y": 214 }
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},
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{
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"width": 300,
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"height": 509,
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"id": "pdfFile_0",
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"position": { "x": 68.3013317598369, "y": 199.60454731299677 },
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"type": "customNode",
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"data": {
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"id": "pdfFile_0",
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"label": "Pdf File",
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"version": 1,
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"name": "pdfFile",
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"type": "Document",
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"baseClasses": ["Document"],
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"category": "Document Loaders",
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"description": "Load data from PDF files",
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"inputParams": [
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{
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"label": "Pdf File",
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"name": "pdfFile",
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"type": "file",
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"fileType": ".pdf",
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"id": "pdfFile_0-input-pdfFile-file"
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},
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{
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"label": "Usage",
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"name": "usage",
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"type": "options",
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"options": [
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{ "label": "One document per page", "name": "perPage" },
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{ "label": "One document per file", "name": "perFile" }
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],
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"default": "perPage",
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"id": "pdfFile_0-input-usage-options"
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},
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{
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"label": "Use Legacy Build",
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"name": "legacyBuild",
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"type": "boolean",
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"optional": true,
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"additionalParams": true,
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"id": "pdfFile_0-input-legacyBuild-boolean"
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},
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{
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"label": "Metadata",
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"name": "metadata",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "pdfFile_0-input-metadata-json"
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}
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],
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"inputAnchors": [
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{
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"label": "Text Splitter",
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"name": "textSplitter",
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"type": "TextSplitter",
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"optional": true,
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"id": "pdfFile_0-input-textSplitter-TextSplitter"
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}
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],
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"inputs": {
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"textSplitter": "",
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"usage": "perPage",
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"legacyBuild": "",
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"metadata": ""
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},
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"outputAnchors": [
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{
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"id": "pdfFile_0-output-pdfFile-Document",
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"name": "pdfFile",
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"label": "Document",
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"type": "Document"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": { "x": 68.3013317598369, "y": 199.60454731299677 },
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"dragging": false
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},
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{
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"width": 300,
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"height": 525,
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"id": "chatOpenAI_0",
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"position": { "x": 804.3889791707068, "y": 195.11620799951592 },
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"type": "customNode",
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"data": {
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"id": "chatOpenAI_0",
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"label": "ChatOpenAI",
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"version": 1,
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"name": "chatOpenAI",
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"type": "ChatOpenAI",
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"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
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"category": "Chat Models",
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"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "chatOpenAI_0-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "options",
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"options": [
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{ "label": "gpt-4", "name": "gpt-4" },
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{ "label": "gpt-4-0613", "name": "gpt-4-0613" },
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{ "label": "gpt-4-32k", "name": "gpt-4-32k" },
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{ "label": "gpt-4-32k-0613", "name": "gpt-4-32k-0613" },
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{ "label": "gpt-3.5-turbo", "name": "gpt-3.5-turbo" },
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{ "label": "gpt-3.5-turbo-0613", "name": "gpt-3.5-turbo-0613" },
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{ "label": "gpt-3.5-turbo-16k", "name": "gpt-3.5-turbo-16k" },
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{
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"label": "gpt-3.5-turbo-16k-0613",
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"name": "gpt-3.5-turbo-16k-0613"
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}
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],
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"default": "gpt-3.5-turbo",
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"optional": true,
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"id": "chatOpenAI_0-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"step": 0.1,
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"default": 0.9,
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"optional": true,
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"id": "chatOpenAI_0-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-topP-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"step": 0.1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-presencePenalty-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"step": 1,
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "chatOpenAI_0-input-basepath-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"modelName": "gpt-3.5-turbo",
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"temperature": "0.2",
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"maxTokens": "",
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"topP": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
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"name": "chatOpenAI",
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"label": "ChatOpenAI",
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"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": { "x": 804.3889791707068, "y": 195.11620799951592 },
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"dragging": false
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},
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{
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"width": 300,
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"height": 481,
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"id": "conversationalRetrievalQAChain_0",
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"position": { "x": 1160.4877473512795, "y": 259.2799138505109 },
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"type": "customNode",
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"data": {
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"id": "conversationalRetrievalQAChain_0",
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"label": "Conversational Retrieval QA Chain",
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"version": 1,
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"name": "conversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain",
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"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain"],
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"category": "Chains",
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"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
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"inputParams": [
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{
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"label": "Return Source Documents",
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"name": "returnSourceDocuments",
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"type": "boolean",
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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},
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{
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"label": "System Message",
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"name": "systemMessagePrompt",
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"type": "string",
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"rows": 4,
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"additionalParams": true,
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"optional": true,
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"placeholder": "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.",
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"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
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},
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{
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"label": "Chain Option",
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"name": "chainOption",
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"type": "options",
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"options": [
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{
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"label": "MapReduceDocumentsChain",
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"name": "map_reduce",
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"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
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},
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{
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"label": "RefineDocumentsChain",
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"name": "refine",
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"description": "Suitable for QA tasks over a large number of documents."
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},
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{
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"label": "StuffDocumentsChain",
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"name": "stuff",
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"description": "Suitable for QA tasks over a small number of documents."
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}
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],
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"additionalParams": true,
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"optional": true,
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"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Vector Store Retriever",
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"name": "vectorStoreRetriever",
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"type": "BaseRetriever",
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"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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},
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{
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"label": "Memory",
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"name": "memory",
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"type": "BaseMemory",
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"optional": true,
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"description": "If left empty, a default BufferMemory will be used",
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"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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}
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],
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"inputs": {
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"model": "{{chatOpenAI_0.data.instance}}",
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"vectorStoreRetriever": "{{vectaraExisting_0.data.instance}}",
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"memory": "",
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"returnSourceDocuments": "",
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"systemMessagePrompt": "",
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"chainOption": ""
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},
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"outputAnchors": [
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{
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"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain",
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"name": "conversationalRetrievalQAChain",
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"label": "ConversationalRetrievalQAChain",
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"type": "ConversationalRetrievalQAChain | BaseChain"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
|
||||
"positionAbsolute": { "x": 1160.4877473512795, "y": 259.2799138505109 },
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
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{
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||||
"source": "pdfFile_0",
|
||||
"sourceHandle": "pdfFile_0-output-pdfFile-Document",
|
||||
"target": "vectaraExisting_0",
|
||||
"targetHandle": "vectaraExisting_0-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "pdfFile_0-pdfFile_0-output-pdfFile-Document-vectaraExisting_0-vectaraExisting_0-input-document-Document",
|
||||
"data": { "label": "" }
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||||
},
|
||||
{
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||||
"source": "vectaraExisting_0",
|
||||
"sourceHandle": "vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever",
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||||
"target": "conversationalRetrievalQAChain_0",
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||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "vectaraExisting_0-vectaraExisting_0-output-retriever-Vectara|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
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||||
"data": { "label": "" }
|
||||
},
|
||||
{
|
||||
"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": "" }
|
||||
}
|
||||
]
|
||||
}
|
||||
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