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add llamaindex
This commit is contained in:
Henry
@@ -0,0 +1,509 @@
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{
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"description": "Stateless query engine designed to answer question over your data using LlamaIndex",
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"badge": "NEW",
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"nodes": [
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{
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"width": 300,
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"height": 382,
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"id": "queryEngine_0",
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"position": {
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||||
"x": 1407.9610494306783,
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"y": 241.12144405808692
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},
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"type": "customNode",
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"data": {
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"id": "queryEngine_0",
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"label": "Query Engine",
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"version": 1,
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"name": "queryEngine",
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"type": "QueryEngine",
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"baseClasses": ["QueryEngine"],
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"tags": ["LlamaIndex"],
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"category": "Engine",
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"description": "Simple query engine built to answer question over your data, without memory",
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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": "queryEngine_0-input-returnSourceDocuments-boolean"
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}
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],
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"inputAnchors": [
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{
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"label": "Vector Store Retriever",
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"name": "vectorStoreRetriever",
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"type": "VectorIndexRetriever",
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"id": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever"
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},
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{
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"label": "Response Synthesizer",
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"name": "responseSynthesizer",
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"type": "ResponseSynthesizer",
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"description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/low_level/response_synthesizer\">more</a>",
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"optional": true,
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"id": "queryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
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}
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],
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"inputs": {
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"vectorStoreRetriever": "{{pineconeLlamaIndex_0.data.instance}}",
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"responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
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"returnSourceDocuments": true
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},
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"outputAnchors": [
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{
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"id": "queryEngine_0-output-queryEngine-QueryEngine",
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"name": "queryEngine",
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"label": "QueryEngine",
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"type": "QueryEngine"
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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": 1407.9610494306783,
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"y": 241.12144405808692
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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": 585,
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"id": "pineconeLlamaIndex_0",
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"position": {
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"x": 977.3886641397302,
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"y": -261.2253031641797
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},
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"type": "customNode",
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"data": {
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"id": "pineconeLlamaIndex_0",
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"label": "Pinecone",
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"version": 1,
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"name": "pineconeLlamaIndex",
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"type": "Pinecone",
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"baseClasses": ["Pinecone", "VectorIndexRetriever"],
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"tags": ["LlamaIndex"],
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"category": "Vector Stores",
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"description": "Upsert embedded data and perform similarity search upon query using Pinecone, a leading fully managed hosted vector database",
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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": ["pineconeApi"],
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"id": "pineconeLlamaIndex_0-input-credential-credential"
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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": "pineconeLlamaIndex_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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"placeholder": "my-first-namespace",
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"additionalParams": true,
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"optional": true,
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"id": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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": "pineconeLlamaIndex_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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"optional": true,
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"id": "pineconeLlamaIndex_0-input-document-Document"
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},
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{
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"label": "Chat Model",
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"name": "model",
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"type": "BaseChatModel_LlamaIndex",
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"id": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
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},
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{
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"label": "Embeddings",
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"name": "embeddings",
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"type": "BaseEmbedding_LlamaIndex",
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"id": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
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}
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],
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"inputs": {
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"document": "",
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"model": "{{chatAnthropic_LlamaIndex_0.data.instance}}",
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"embeddings": "{{openAIEmbedding_LlamaIndex_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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"id": "pineconeLlamaIndex_0-output-pineconeLlamaIndex-Pinecone|VectorIndexRetriever",
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"name": "pineconeLlamaIndex",
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"label": "Pinecone",
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"type": "Pinecone | VectorIndexRetriever"
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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": 977.3886641397302,
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"y": -261.2253031641797
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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": 334,
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"id": "openAIEmbedding_LlamaIndex_0",
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"position": {
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"x": 529.8690713844503,
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"y": -18.955726653613254
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},
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"type": "customNode",
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"data": {
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"id": "openAIEmbedding_LlamaIndex_0",
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"label": "OpenAI Embedding",
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"version": 1,
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"name": "openAIEmbedding_LlamaIndex",
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"type": "OpenAIEmbedding",
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"baseClasses": ["OpenAIEmbedding", "BaseEmbedding_LlamaIndex", "BaseEmbedding"],
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"tags": ["LlamaIndex"],
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"category": "Embeddings",
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"description": "OpenAI Embedding with LlamaIndex implementation",
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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": "openAIEmbedding_LlamaIndex_0-input-credential-credential"
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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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"optional": true,
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"additionalParams": true,
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"id": "openAIEmbedding_LlamaIndex_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": "openAIEmbedding_LlamaIndex_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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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
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"name": "openAIEmbedding_LlamaIndex",
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"label": "OpenAIEmbedding",
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"type": "OpenAIEmbedding | BaseEmbedding_LlamaIndex | BaseEmbedding"
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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": 529.8690713844503,
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||||
"y": -18.955726653613254
|
||||
},
|
||||
"dragging": false
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||||
},
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{
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"width": 300,
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"height": 749,
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"id": "compactrefineLlamaIndex_0",
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"position": {
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||||
"x": 170.71031618977543,
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||||
"y": -33.83233752386292
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||||
},
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"type": "customNode",
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"data": {
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||||
"id": "compactrefineLlamaIndex_0",
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"label": "Compact and Refine",
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"version": 1,
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"name": "compactrefineLlamaIndex",
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"type": "CompactRefine",
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"baseClasses": ["CompactRefine", "ResponseSynthesizer"],
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"tags": ["LlamaIndex"],
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"category": "Response Synthesizer",
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"description": "CompactRefine is a slight variation of Refine that first compacts the text chunks into the smallest possible number of chunks.",
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"inputParams": [
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{
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"label": "Refine Prompt",
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"name": "refinePrompt",
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"type": "string",
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"rows": 4,
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"default": "The original query is as follows: {query}\nWe have provided an existing answer: {existingAnswer}\nWe have the opportunity to refine the existing answer (only if needed) with some more context below.\n------------\n{context}\n------------\nGiven the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.\nRefined Answer:",
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"warning": "Prompt can contains no variables, or up to 3 variables. Variables must be {existingAnswer}, {context} and {query}",
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"optional": true,
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"id": "compactrefineLlamaIndex_0-input-refinePrompt-string"
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},
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{
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"label": "Text QA Prompt",
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"name": "textQAPrompt",
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"type": "string",
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"rows": 4,
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"default": "Context information is below.\n---------------------\n{context}\n---------------------\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}\nAnswer:",
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"warning": "Prompt can contains no variables, or up to 2 variables. Variables must be {context} and {query}",
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"optional": true,
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"id": "compactrefineLlamaIndex_0-input-textQAPrompt-string"
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}
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],
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"inputAnchors": [],
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"inputs": {
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||||
"refinePrompt": "The original query is as follows: {query}\nWe have provided an existing answer: {existingAnswer}\nWe have the opportunity to refine the existing answer (only if needed) with some more context below.\n------------\n{context}\n------------\nGiven the new context, refine the original answer to better answer the query. If the context isn't useful, return the original answer.\nRefined Answer:",
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"textQAPrompt": "Context information:\n<context>\n{context}\n</context>\nGiven the context information and not prior knowledge, answer the query.\nQuery: {query}"
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},
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"outputAnchors": [
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||||
{
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||||
"id": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
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||||
"name": "compactrefineLlamaIndex",
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"label": "CompactRefine",
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"type": "CompactRefine | ResponseSynthesizer"
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||||
}
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||||
],
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"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 170.71031618977543,
|
||||
"y": -33.83233752386292
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
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||||
"width": 300,
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||||
"height": 529,
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||||
"id": "chatAnthropic_LlamaIndex_0",
|
||||
"position": {
|
||||
"x": 521.3530883359147,
|
||||
"y": -584.8241219614786
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatAnthropic_LlamaIndex_0",
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"label": "ChatAnthropic",
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"version": 1,
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"name": "chatAnthropic_LlamaIndex",
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"type": "ChatAnthropic",
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"baseClasses": ["ChatAnthropic", "BaseChatModel_LlamaIndex"],
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"tags": ["LlamaIndex"],
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"category": "Chat Models",
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"description": "Wrapper around ChatAnthropic LLM with LlamaIndex implementation",
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"inputParams": [
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{
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||||
"label": "Connect Credential",
|
||||
"name": "credential",
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||||
"type": "credential",
|
||||
"credentialNames": ["anthropicApi"],
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||||
"id": "chatAnthropic_LlamaIndex_0-input-credential-credential"
|
||||
},
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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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{
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||||
"label": "claude-2",
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"name": "claude-2",
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||||
"description": "Claude 2 latest major version, automatically get updates to the model as they are released"
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||||
},
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||||
{
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||||
"label": "claude-2.1",
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||||
"name": "claude-2.1",
|
||||
"description": "Claude 2 latest full version"
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||||
},
|
||||
{
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||||
"label": "claude-instant-1",
|
||||
"name": "claude-instant-1",
|
||||
"description": "Claude Instant latest major version, automatically get updates to the model as they are released"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1",
|
||||
"name": "claude-v1"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1-100k",
|
||||
"name": "claude-v1-100k"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1.0",
|
||||
"name": "claude-v1.0"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1.2",
|
||||
"name": "claude-v1.2"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1.3",
|
||||
"name": "claude-v1.3"
|
||||
},
|
||||
{
|
||||
"label": "claude-v1.3-100k",
|
||||
"name": "claude-v1.3-100k"
|
||||
},
|
||||
{
|
||||
"label": "claude-instant-v1",
|
||||
"name": "claude-instant-v1"
|
||||
},
|
||||
{
|
||||
"label": "claude-instant-v1-100k",
|
||||
"name": "claude-instant-v1-100k"
|
||||
},
|
||||
{
|
||||
"label": "claude-instant-v1.0",
|
||||
"name": "claude-instant-v1.0"
|
||||
},
|
||||
{
|
||||
"label": "claude-instant-v1.1",
|
||||
"name": "claude-instant-v1.1"
|
||||
},
|
||||
{
|
||||
"label": "claude-instant-v1.1-100k",
|
||||
"name": "claude-instant-v1.1-100k"
|
||||
}
|
||||
],
|
||||
"default": "claude-2",
|
||||
"optional": true,
|
||||
"id": "chatAnthropic_LlamaIndex_0-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatAnthropic_LlamaIndex_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokensToSample",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatAnthropic_LlamaIndex_0-input-maxTokensToSample-number"
|
||||
},
|
||||
{
|
||||
"label": "Top P",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatAnthropic_LlamaIndex_0-input-topP-number"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "claude-2",
|
||||
"temperature": 0.9,
|
||||
"maxTokensToSample": "",
|
||||
"topP": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatAnthropic_LlamaIndex_0-output-chatAnthropic_LlamaIndex-ChatAnthropic|BaseChatModel_LlamaIndex",
|
||||
"name": "chatAnthropic_LlamaIndex",
|
||||
"label": "ChatAnthropic",
|
||||
"type": "ChatAnthropic | BaseChatModel_LlamaIndex"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 521.3530883359147,
|
||||
"y": -584.8241219614786
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "pineconeLlamaIndex_0",
|
||||
"sourceHandle": "pineconeLlamaIndex_0-output-pineconeLlamaIndex-Pinecone|VectorIndexRetriever",
|
||||
"target": "queryEngine_0",
|
||||
"targetHandle": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeLlamaIndex_0-pineconeLlamaIndex_0-output-pineconeLlamaIndex-Pinecone|VectorIndexRetriever-queryEngine_0-queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "openAIEmbedding_LlamaIndex_0",
|
||||
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "compactrefineLlamaIndex_0",
|
||||
"sourceHandle": "compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer",
|
||||
"target": "queryEngine_0",
|
||||
"targetHandle": "queryEngine_0-input-responseSynthesizer-ResponseSynthesizer",
|
||||
"type": "buttonedge",
|
||||
"id": "compactrefineLlamaIndex_0-compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer-queryEngine_0-queryEngine_0-input-responseSynthesizer-ResponseSynthesizer",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatAnthropic_LlamaIndex_0",
|
||||
"sourceHandle": "chatAnthropic_LlamaIndex_0-output-chatAnthropic_LlamaIndex-ChatAnthropic|BaseChatModel_LlamaIndex",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
|
||||
"type": "buttonedge",
|
||||
"id": "chatAnthropic_LlamaIndex_0-chatAnthropic_LlamaIndex_0-output-chatAnthropic_LlamaIndex-ChatAnthropic|BaseChatModel_LlamaIndex-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user