Add SearchApi documentloader, tool & podcast QA example

This commit is contained in:
SebastjanPrachovskij
2023-10-31 16:27:37 +02:00
parent 06552416bb
commit 7bc41939e4
6 changed files with 879 additions and 0 deletions
@@ -0,0 +1,702 @@
{
"description": "Engage with data sources such as YouTube Transcripts, Google, and more through intelligent Q&A interactions",
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"name": "conversationalRetrievalQAChain",
"type": "ConversationalRetrievalQAChain",
"baseClasses": [
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"BaseChain",
"Runnable"
],
"category": "Chains",
"description": "Document QA - built on RetrievalQAChain to provide a chat history component",
"inputParams": [
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"label": "Return Source Documents",
"name": "returnSourceDocuments",
"type": "boolean",
"optional": true,
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},
{
"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"
},
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"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"
}
],
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"type": "BaseLanguageModel",
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{
"label": "Vector Store Retriever",
"name": "vectorStoreRetriever",
"type": "BaseRetriever",
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{
"label": "Memory",
"name": "memory",
"type": "BaseMemory",
"optional": true,
"description": "If left empty, a default BufferMemory will be used",
"id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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],
"inputs": {
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"vectorStoreRetriever": "{{memoryVectorStore_0.data.instance}}",
"memory": "",
"returnSourceDocuments": "",
"systemMessagePrompt": "",
"chainOption": ""
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"label": "ConversationalRetrievalQAChain",
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"name": "embeddings",
"type": "Embeddings",
"id": "memoryVectorStore_0-input-embeddings-Embeddings"
}
],
"inputs": {
"document": [
"{{searchApi_0.data.instance}}",
"{{searchApi_0.data.instance}}",
"{{searchApi_0.data.instance}}"
],
"embeddings": "{{openAIEmbeddings_0.data.instance}}",
"topK": ""
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"label": "Memory Retriever",
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"name": "vectorStore",
"label": "Memory Vector Store",
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"type": "ChatOpenAI",
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"BaseLanguageModel",
"Runnable"
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"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
"inputParams": [
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"type": "credential",
"credentialNames": [
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},
{
"label": "Model Name",
"name": "modelName",
"type": "options",
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"label": "gpt-4",
"name": "gpt-4"
},
{
"label": "gpt-4-0613",
"name": "gpt-4-0613"
},
{
"label": "gpt-4-32k",
"name": "gpt-4-32k"
},
{
"label": "gpt-4-32k-0613",
"name": "gpt-4-32k-0613"
},
{
"label": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo"
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{
"label": "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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{
"label": "gpt-3.5-turbo-16k-0613",
"name": "gpt-3.5-turbo-16k-0613"
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"id": "chatOpenAI_0-input-modelName-options"
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"label": "Temperature",
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"type": "number",
"step": 0.1,
"default": 0.9,
"optional": true,
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
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"type": "number",
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"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-maxTokens-number"
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{
"label": "Top Probability",
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"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-topP-number"
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{
"label": "Frequency Penalty",
"name": "frequencyPenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
"name": "presencePenalty",
"type": "number",
"step": 0.1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
"name": "timeout",
"type": "number",
"step": 1,
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_0-input-timeout-number"
},
{
"label": "BasePath",
"name": "basepath",
"type": "string",
"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"
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],
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{
"label": "Cache",
"name": "cache",
"type": "BaseCache",
"optional": true,
"id": "chatOpenAI_0-input-cache-BaseCache"
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],
"inputs": {
"cache": "",
"modelName": "gpt-3.5-turbo",
"temperature": "0.5",
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
"presencePenalty": "",
"timeout": "",
"basepath": "",
"baseOptions": ""
},
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{
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"name": "chatOpenAI",
"label": "ChatOpenAI",
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"version": 1,
"name": "characterTextSplitter",
"type": "CharacterTextSplitter",
"baseClasses": [
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"TextSplitter",
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"Runnable"
],
"category": "Text Splitters",
"description": "splits only on one type of character (defaults to \"\\n\\n\").",
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"name": "chunkSize",
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{
"label": "Chunk Overlap",
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"optional": true,
"id": "characterTextSplitter_0-input-chunkOverlap-number"
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{
"label": "Custom Separator",
"name": "separator",
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"placeholder": "\" \"",
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"optional": true,
"id": "characterTextSplitter_0-input-separator-string"
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],
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"inputs": {
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"chunkOverlap": "200",
"separator": ""
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"description": "OpenAI API to generate embeddings for a given text",
"inputParams": [
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"name": "credential",
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"label": "Strip New Lines",
"name": "stripNewLines",
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"label": "SearchApi",
"version": 1,
"name": "searchApi",
"type": "Document",
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],
"category": "Document Loaders",
"description": "Load data from real-time search results",
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],
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}