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add tools marketplace
This commit is contained in:
Henry
@@ -0,0 +1,624 @@
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{
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||||
"description": "Text file QnA using conversational retrieval QA chain",
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"label": "Recursive Character Text Splitter",
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"name": "recursiveCharacterTextSplitter",
|
||||
"type": "RecursiveCharacterTextSplitter",
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||||
"baseClasses": ["RecursiveCharacterTextSplitter", "TextSplitter"],
|
||||
"category": "Text Splitters",
|
||||
"description": "Split documents recursively by different characters - starting with \"\n\n\", then \"\n\", then \" \"",
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||||
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{
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"label": "Chunk Size",
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"default": 1000,
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"optional": true,
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},
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{
|
||||
"label": "Chunk Overlap",
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||||
"name": "chunkOverlap",
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"type": "number",
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"optional": true,
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"id": "recursiveCharacterTextSplitter_1-input-chunkOverlap-number"
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"chunkSize": 1000,
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"chunkOverlap": ""
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{
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"id": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
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"name": "recursiveCharacterTextSplitter",
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"label": "RecursiveCharacterTextSplitter",
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||||
"type": "RecursiveCharacterTextSplitter | TextSplitter"
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}
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{
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"width": 300,
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"height": 392,
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"id": "textFile_1",
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"position": {
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"data": {
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"id": "textFile_1",
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"label": "Text File",
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"name": "textFile",
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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 text files",
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"inputParams": [
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{
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"label": "Txt File",
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"name": "txtFile",
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"type": "file",
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"fileType": ".txt",
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"id": "textFile_1-input-txtFile-file"
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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": "textFile_1-input-metadata-json"
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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": "textFile_1-input-textSplitter-TextSplitter"
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||||
}
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||||
],
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"inputs": {
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"textSplitter": "{{recursiveCharacterTextSplitter_1.data.instance}}"
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},
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"outputAnchors": [
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{
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"id": "textFile_1-output-textFile-Document",
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"name": "textFile",
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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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"dragging": false
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},
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{
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"width": 300,
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"height": 330,
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"id": "openAIEmbeddings_1",
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"position": {
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"id": "openAIEmbeddings_1",
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"label": "OpenAI Embeddings",
|
||||
"name": "openAIEmbeddings",
|
||||
"type": "OpenAIEmbeddings",
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||||
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
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||||
"category": "Embeddings",
|
||||
"description": "OpenAI API to generate embeddings for a given text",
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||||
"inputParams": [
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{
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||||
"label": "OpenAI Api Key",
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||||
"name": "openAIApiKey",
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||||
"type": "password",
|
||||
"id": "openAIEmbeddings_1-input-openAIApiKey-password"
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||||
},
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||||
{
|
||||
"label": "Strip New Lines",
|
||||
"name": "stripNewLines",
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||||
"type": "boolean",
|
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_1-input-stripNewLines-boolean"
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{
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||||
"label": "Batch Size",
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"name": "batchSize",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_1-input-batchSize-number"
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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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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbeddings_1-input-timeout-number"
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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": "openAIEmbeddings_1-input-basepath-string"
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"inputs": {
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"stripNewLines": "",
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"batchSize": "",
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"timeout": ""
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{
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"id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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"name": "openAIEmbeddings",
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||||
"label": "OpenAIEmbeddings",
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||||
"type": "OpenAIEmbeddings | Embeddings"
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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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"dragging": false
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{
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"width": 300,
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"height": 702,
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"id": "pineconeUpsert_1",
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"position": {
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"type": "customNode",
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"data": {
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"id": "pineconeUpsert_1",
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||||
"label": "Pinecone Upsert Document",
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||||
"name": "pineconeUpsert",
|
||||
"type": "Pinecone",
|
||||
"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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||||
"category": "Vector Stores",
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||||
"description": "Upsert documents to Pinecone",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Pinecone Api Key",
|
||||
"name": "pineconeApiKey",
|
||||
"type": "password",
|
||||
"id": "pineconeUpsert_1-input-pineconeApiKey-password"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Environment",
|
||||
"name": "pineconeEnv",
|
||||
"type": "string",
|
||||
"id": "pineconeUpsert_1-input-pineconeEnv-string"
|
||||
},
|
||||
{
|
||||
"label": "Pinecone Index",
|
||||
"name": "pineconeIndex",
|
||||
"type": "string",
|
||||
"id": "pineconeUpsert_1-input-pineconeIndex-string"
|
||||
},
|
||||
{
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||||
"label": "Pinecone Namespace",
|
||||
"name": "pineconeNamespace",
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||||
"type": "string",
|
||||
"placeholder": "my-first-namespace",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "pineconeUpsert_1-input-pineconeNamespace-string"
|
||||
},
|
||||
{
|
||||
"label": "Top K",
|
||||
"name": "topK",
|
||||
"description": "Number of top results to fetch. Default to 4",
|
||||
"placeholder": "4",
|
||||
"type": "number",
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "pineconeUpsert_1-input-topK-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Document",
|
||||
"name": "document",
|
||||
"type": "Document",
|
||||
"list": true,
|
||||
"id": "pineconeUpsert_1-input-document-Document"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "Embeddings",
|
||||
"id": "pineconeUpsert_1-input-embeddings-Embeddings"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"document": ["{{textFile_1.data.instance}}"],
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||||
"embeddings": "{{openAIEmbeddings_1.data.instance}}",
|
||||
"pineconeEnv": "us-west4-gcp",
|
||||
"pineconeIndex": "myindex",
|
||||
"pineconeNamespace": "mynamespace"
|
||||
},
|
||||
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|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"name": "retriever",
|
||||
"label": "Pinecone Retriever",
|
||||
"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
||||
},
|
||||
{
|
||||
"id": "pineconeUpsert_1-output-vectorStore-Pinecone|VectorStore",
|
||||
"name": "vectorStore",
|
||||
"label": "Pinecone Vector Store",
|
||||
"type": "Pinecone | VectorStore"
|
||||
}
|
||||
],
|
||||
"default": "retriever"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
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|
||||
"selected": false,
|
||||
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||||
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||||
{
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||||
"width": 300,
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||||
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||||
"id": "chatOpenAI_0",
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||||
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||||
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||||
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||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "BaseLangChain"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "OpenAI Api Key",
|
||||
"name": "openAIApiKey",
|
||||
"type": "password",
|
||||
"id": "chatOpenAI_0-input-openAIApiKey-password"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "gpt-4",
|
||||
"name": "gpt-4"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-0613",
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||||
"name": "gpt-4-0613"
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||||
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||||
{
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||||
"label": "gpt-4-32k",
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"name": "gpt-4-32k"
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||||
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||||
{
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||||
"label": "gpt-4-32k-0613",
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||||
"name": "gpt-4-32k-0613"
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||||
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{
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||||
"label": "gpt-3.5-turbo",
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||||
"name": "gpt-3.5-turbo"
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||||
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{
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||||
"label": "gpt-3.5-turbo-0613",
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||||
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||||
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||||
{
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||||
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||||
"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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|
||||
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|
||||
"optional": true,
|
||||
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|
||||
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|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
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|
||||
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|
||||
{
|
||||
"label": "Max Tokens",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"id": "chatOpenAI_0-input-maxTokens-number"
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
"type": "number",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
||||
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|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-presencePenalty-number"
|
||||
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|
||||
{
|
||||
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|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
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|
||||
"additionalParams": true,
|
||||
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|
||||
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|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string"
|
||||
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|
||||
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|
||||
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|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": "0.5",
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
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||||
"presencePenalty": "",
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||||
"timeout": ""
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||||
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|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
|
||||
}
|
||||
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||||
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||||
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||||
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||||
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||||
{
|
||||
"width": 300,
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||||
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|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
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||||
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||||
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||||
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||||
"data": {
|
||||
"id": "conversationalRetrievalQAChain_0",
|
||||
"label": "Conversational Retrieval QA Chain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain",
|
||||
"baseClasses": ["ConversationalRetrievalQAChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
|
||||
},
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"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.",
|
||||
"id": "conversationalRetrievalQAChain_0-input-systemMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Chain Option",
|
||||
"name": "chainOption",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "MapReduceDocumentsChain",
|
||||
"name": "map_reduce",
|
||||
"description": "Suitable for QA tasks over larger documents and can run the preprocessing step in parallel, reducing the running time"
|
||||
},
|
||||
{
|
||||
"label": "RefineDocumentsChain",
|
||||
"name": "refine",
|
||||
"description": "Suitable for QA tasks over a large number of documents."
|
||||
},
|
||||
{
|
||||
"label": "StuffDocumentsChain",
|
||||
"name": "stuff",
|
||||
"description": "Suitable for QA tasks over a small number of documents."
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"optional": true,
|
||||
"id": "conversationalRetrievalQAChain_0-input-chainOption-options"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Vector Store Retriever",
|
||||
"name": "vectorStoreRetriever",
|
||||
"type": "BaseRetriever",
|
||||
"id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"vectorStoreRetriever": "{{pineconeUpsert_1.data.instance}}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "conversationalRetrievalQAChain_0-output-conversationalRetrievalQAChain-ConversationalRetrievalQAChain|BaseChain|BaseLangChain",
|
||||
"name": "conversationalRetrievalQAChain",
|
||||
"label": "ConversationalRetrievalQAChain",
|
||||
"type": "ConversationalRetrievalQAChain | BaseChain | BaseLangChain"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1627.1855024401737,
|
||||
"y": 394.42287890442145
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "openAIEmbeddings_1",
|
||||
"sourceHandle": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
||||
"target": "pineconeUpsert_1",
|
||||
"targetHandle": "pineconeUpsert_1-input-embeddings-Embeddings",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbeddings_1-openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeUpsert_1-pineconeUpsert_1-input-embeddings-Embeddings",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "textFile_1",
|
||||
"sourceHandle": "textFile_1-output-textFile-Document",
|
||||
"target": "pineconeUpsert_1",
|
||||
"targetHandle": "pineconeUpsert_1-input-document-Document",
|
||||
"type": "buttonedge",
|
||||
"id": "textFile_1-textFile_1-output-textFile-Document-pineconeUpsert_1-pineconeUpsert_1-input-document-Document",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "recursiveCharacterTextSplitter_1",
|
||||
"sourceHandle": "recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter",
|
||||
"target": "textFile_1",
|
||||
"targetHandle": "textFile_1-input-textSplitter-TextSplitter",
|
||||
"type": "buttonedge",
|
||||
"id": "recursiveCharacterTextSplitter_1-recursiveCharacterTextSplitter_1-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter-textFile_1-textFile_1-input-textSplitter-TextSplitter",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "pineconeUpsert_1",
|
||||
"sourceHandle": "pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
|
||||
"target": "conversationalRetrievalQAChain_0",
|
||||
"targetHandle": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeUpsert_1-pineconeUpsert_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever-conversationalRetrievalQAChain_0-conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user