mirror of
https://github.com/farcasclaudiu/Flowise.git
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1002 lines
42 KiB
JSON
1002 lines
42 KiB
JSON
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"inputs": {
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"template": "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:",
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"label": "Presence Penalty",
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"name": "pineconeExistingIndex",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
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"category": "Vector Stores",
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},
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{
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"label": "Pinecone Index",
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"name": "pineconeIndex",
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"type": "string",
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"id": "pineconeExistingIndex_0-input-pineconeIndex-string"
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},
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{
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"label": "Pinecone Namespace",
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"name": "pineconeNamespace",
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"type": "string",
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"additionalParams": true,
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"optional": true,
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"id": "pineconeExistingIndex_0-input-pineconeNamespace-string"
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},
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{
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"label": "Pinecone Metadata Filter",
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"name": "pineconeMetadataFilter",
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"type": "json",
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"optional": true,
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"additionalParams": true,
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"id": "pineconeExistingIndex_0-input-pineconeMetadataFilter-json"
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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. Default 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": "pineconeExistingIndex_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": "Embeddings",
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"name": "embeddings",
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"type": "Embeddings",
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"id": "pineconeExistingIndex_0-input-embeddings-Embeddings"
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}
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],
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"inputs": {
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"embeddings": "{{openAIEmbeddings_0.data.instance}}",
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"pineconeIndex": "",
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"pineconeNamespace": "",
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"pineconeMetadataFilter": "",
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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": "pineconeExistingIndex_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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"name": "retriever",
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"label": "Pinecone Retriever",
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"type": "Pinecone | VectorStoreRetriever | BaseRetriever"
|
|
},
|
|
{
|
|
"id": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
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|
"name": "vectorStore",
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|
"label": "Pinecone Vector Store",
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|
"type": "Pinecone | VectorStore"
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|
}
|
|
],
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|
"default": "retriever"
|
|
}
|
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],
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"outputs": {
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"output": "vectorStore"
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},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"x": 1544.4998097474581,
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"y": -628.8477510577202
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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": 652,
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"id": "chatPromptTemplate_0",
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|
"position": {
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"x": 2290.8365353040026,
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"y": -168.49082887954518
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},
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"type": "customNode",
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"data": {
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"id": "chatPromptTemplate_0",
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"label": "Chat Prompt Template",
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|
"version": 1,
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|
"name": "chatPromptTemplate",
|
|
"type": "ChatPromptTemplate",
|
|
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate", "Runnable"],
|
|
"category": "Prompts",
|
|
"description": "Schema to represent a chat prompt",
|
|
"inputParams": [
|
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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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"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
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"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
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},
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{
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"label": "Human Message",
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"name": "humanMessagePrompt",
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"type": "string",
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"rows": 4,
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"placeholder": "{text}",
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"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
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},
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{
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|
"label": "Format Prompt Values",
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|
"name": "promptValues",
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|
"type": "json",
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|
"optional": true,
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|
"acceptVariable": true,
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|
"list": true,
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|
"id": "chatPromptTemplate_0-input-promptValues-json"
|
|
}
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|
],
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|
"inputAnchors": [],
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"inputs": {
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|
"systemMessagePrompt": "Using the provided context, answer the user's question to the best of your ability using the resources provided. If 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\nAnything between the following \\`context\\` html blocks is retrieved from a knowledge bank, not part of the conversation with the user.\n\n<context>\n {context}\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. Anything between the preceding 'context' html blocks is retrieved from a knowledge bank, not part of the conversation with the user.",
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"humanMessagePrompt": "{text}",
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|
"promptValues": "{\"context\":\"{{vectorStoreToDocument_0.data.instance}}\",\"text\":\"{{question}}\"}"
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},
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"outputAnchors": [
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{
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"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
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"name": "chatPromptTemplate",
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|
"label": "ChatPromptTemplate",
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"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate | Runnable"
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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": {
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"x": 2290.8365353040026,
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"y": -168.49082887954518
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},
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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": 405,
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|
"id": "llmChain_0",
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|
"position": {
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"x": 747.1299875516488,
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"y": -267.01184813798244
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},
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"type": "customNode",
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"data": {
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"id": "llmChain_0",
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"label": "LLM Chain",
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|
"version": 1,
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|
"name": "llmChain",
|
|
"type": "LLMChain",
|
|
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
|
"category": "Chains",
|
|
"description": "Chain to run queries against LLMs",
|
|
"inputParams": [
|
|
{
|
|
"label": "Chain Name",
|
|
"name": "chainName",
|
|
"type": "string",
|
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"placeholder": "Name Your Chain",
|
|
"optional": true,
|
|
"id": "llmChain_0-input-chainName-string"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Language Model",
|
|
"name": "model",
|
|
"type": "BaseLanguageModel",
|
|
"id": "llmChain_0-input-model-BaseLanguageModel"
|
|
},
|
|
{
|
|
"label": "Prompt",
|
|
"name": "prompt",
|
|
"type": "BasePromptTemplate",
|
|
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"model": "{{chatOpenAI_0.data.instance}}",
|
|
"prompt": "{{promptTemplate_0.data.instance}}",
|
|
"chainName": "RephraseQuestion"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"name": "output",
|
|
"label": "Output",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
|
"name": "llmChain",
|
|
"label": "LLM Chain",
|
|
"type": "LLMChain | BaseChain | Runnable"
|
|
},
|
|
{
|
|
"id": "llmChain_0-output-outputPrediction-string|json",
|
|
"name": "outputPrediction",
|
|
"label": "Output Prediction",
|
|
"type": "string | json"
|
|
}
|
|
],
|
|
"default": "llmChain"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"output": "outputPrediction"
|
|
},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 747.1299875516488,
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"y": -267.01184813798244
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|
},
|
|
"dragging": false
|
|
},
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|
{
|
|
"width": 300,
|
|
"height": 405,
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|
"id": "llmChain_1",
|
|
"position": {
|
|
"x": 2694.8707655351186,
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|
"y": -308.59150355411236
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|
},
|
|
"type": "customNode",
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|
"data": {
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|
"id": "llmChain_1",
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|
"label": "LLM Chain",
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|
"version": 1,
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|
"name": "llmChain",
|
|
"type": "LLMChain",
|
|
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
|
"category": "Chains",
|
|
"description": "Chain to run queries against LLMs",
|
|
"inputParams": [
|
|
{
|
|
"label": "Chain Name",
|
|
"name": "chainName",
|
|
"type": "string",
|
|
"placeholder": "Name Your Chain",
|
|
"optional": true,
|
|
"id": "llmChain_1-input-chainName-string"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Language Model",
|
|
"name": "model",
|
|
"type": "BaseLanguageModel",
|
|
"id": "llmChain_1-input-model-BaseLanguageModel"
|
|
},
|
|
{
|
|
"label": "Prompt",
|
|
"name": "prompt",
|
|
"type": "BasePromptTemplate",
|
|
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"model": "{{chatOpenAI_1.data.instance}}",
|
|
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
|
"chainName": "FinalResponse"
|
|
},
|
|
"outputAnchors": [
|
|
{
|
|
"name": "output",
|
|
"label": "Output",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|Runnable",
|
|
"name": "llmChain",
|
|
"label": "LLM Chain",
|
|
"type": "LLMChain | BaseChain | Runnable"
|
|
},
|
|
{
|
|
"id": "llmChain_1-output-outputPrediction-string|json",
|
|
"name": "outputPrediction",
|
|
"label": "Output Prediction",
|
|
"type": "string | json"
|
|
}
|
|
],
|
|
"default": "llmChain"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"output": "llmChain"
|
|
},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 2694.8707655351186,
|
|
"y": -308.59150355411236
|
|
},
|
|
"dragging": false
|
|
},
|
|
{
|
|
"width": 300,
|
|
"height": 454,
|
|
"id": "vectorStoreToDocument_0",
|
|
"position": {
|
|
"x": 1906.6871314089658,
|
|
"y": -157.0046189166955
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|
},
|
|
"type": "customNode",
|
|
"data": {
|
|
"id": "vectorStoreToDocument_0",
|
|
"label": "VectorStore To Document",
|
|
"version": 2,
|
|
"name": "vectorStoreToDocument",
|
|
"type": "Document",
|
|
"baseClasses": ["Document"],
|
|
"category": "Document Loaders",
|
|
"description": "Search documents with scores from vector store",
|
|
"inputParams": [
|
|
{
|
|
"label": "Query",
|
|
"name": "query",
|
|
"type": "string",
|
|
"description": "Query to retrieve documents from vector database. If not specified, user question will be used",
|
|
"optional": true,
|
|
"acceptVariable": true,
|
|
"id": "vectorStoreToDocument_0-input-query-string"
|
|
},
|
|
{
|
|
"label": "Minimum Score (%)",
|
|
"name": "minScore",
|
|
"type": "number",
|
|
"optional": true,
|
|
"placeholder": "75",
|
|
"step": 1,
|
|
"description": "Minumum score for embeddings documents to be included",
|
|
"id": "vectorStoreToDocument_0-input-minScore-number"
|
|
}
|
|
],
|
|
"inputAnchors": [
|
|
{
|
|
"label": "Vector Store",
|
|
"name": "vectorStore",
|
|
"type": "VectorStore",
|
|
"id": "vectorStoreToDocument_0-input-vectorStore-VectorStore"
|
|
}
|
|
],
|
|
"inputs": {
|
|
"vectorStore": "{{pineconeExistingIndex_0.data.instance}}",
|
|
"query": "{{llmChain_0.data.instance}}",
|
|
"minScore": ""
|
|
},
|
|
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|
|
{
|
|
"name": "output",
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|
"label": "Output",
|
|
"type": "options",
|
|
"options": [
|
|
{
|
|
"id": "vectorStoreToDocument_0-output-document-Document",
|
|
"name": "document",
|
|
"label": "Document",
|
|
"type": "Document"
|
|
},
|
|
{
|
|
"id": "vectorStoreToDocument_0-output-text-string|json",
|
|
"name": "text",
|
|
"label": "Text",
|
|
"type": "string | json"
|
|
}
|
|
],
|
|
"default": "document"
|
|
}
|
|
],
|
|
"outputs": {
|
|
"output": "text"
|
|
},
|
|
"selected": false
|
|
},
|
|
"selected": false,
|
|
"positionAbsolute": {
|
|
"x": 1906.6871314089658,
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|
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|
},
|
|
"dragging": false
|
|
}
|
|
],
|
|
"edges": [
|
|
{
|
|
"source": "openAIEmbeddings_0",
|
|
"sourceHandle": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
|
|
"target": "pineconeExistingIndex_0",
|
|
"targetHandle": "pineconeExistingIndex_0-input-embeddings-Embeddings",
|
|
"type": "buttonedge",
|
|
"id": "openAIEmbeddings_0-openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings-pineconeExistingIndex_0-pineconeExistingIndex_0-input-embeddings-Embeddings",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "promptTemplate_0",
|
|
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
|
|
"target": "llmChain_0",
|
|
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
|
"type": "buttonedge",
|
|
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
|
"data": {
|
|
"label": ""
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|
}
|
|
},
|
|
{
|
|
"source": "chatOpenAI_0",
|
|
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"target": "llmChain_0",
|
|
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
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|
"type": "buttonedge",
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|
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "chatPromptTemplate_0",
|
|
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
|
"target": "llmChain_1",
|
|
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
|
"type": "buttonedge",
|
|
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
|
"data": {
|
|
"label": ""
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|
}
|
|
},
|
|
{
|
|
"source": "chatOpenAI_1",
|
|
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"target": "llmChain_1",
|
|
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "pineconeExistingIndex_0",
|
|
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
|
|
"target": "vectorStoreToDocument_0",
|
|
"targetHandle": "vectorStoreToDocument_0-input-vectorStore-VectorStore",
|
|
"type": "buttonedge",
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|
"id": "pineconeExistingIndex_0-pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore-vectorStoreToDocument_0-vectorStoreToDocument_0-input-vectorStore-VectorStore",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "vectorStoreToDocument_0",
|
|
"sourceHandle": "vectorStoreToDocument_0-output-text-string|json",
|
|
"target": "chatPromptTemplate_0",
|
|
"targetHandle": "chatPromptTemplate_0-input-promptValues-json",
|
|
"type": "buttonedge",
|
|
"id": "vectorStoreToDocument_0-vectorStoreToDocument_0-output-text-string|json-chatPromptTemplate_0-chatPromptTemplate_0-input-promptValues-json",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "llmChain_0",
|
|
"sourceHandle": "llmChain_0-output-outputPrediction-string|json",
|
|
"target": "vectorStoreToDocument_0",
|
|
"targetHandle": "vectorStoreToDocument_0-input-query-string",
|
|
"type": "buttonedge",
|
|
"id": "llmChain_0-llmChain_0-output-outputPrediction-string|json-vectorStoreToDocument_0-vectorStoreToDocument_0-input-query-string",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
}
|
|
]
|
|
}
|