File size: 7,853 Bytes
a80f6e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 | import React, { useState } from "react";
import CodeBlock from "@theme-original/CodeBlock";
import { CustomDropdown } from './ChatModelTabs';
export default function EmbeddingTabs(props) {
const [selectedModel, setSelectedModel] = useState("OpenAI");
const {
openaiParams,
hideOpenai,
azureOpenaiParams,
hideAzureOpenai,
googleParams,
hideGoogle,
awsParams,
hideAws,
huggingFaceParams,
hideHuggingFace,
ollamaParams,
hideOllama,
cohereParams,
hideCohere,
mistralParams,
hideMistral,
nomicParams,
hideNomic,
nvidiaParams,
hideNvidia,
voyageaiParams,
hideVoyageai,
ibmParams,
hideIBM,
fakeEmbeddingParams,
hideFakeEmbedding,
customVarName,
} = props;
const openAIParamsOrDefault = openaiParams ?? `model="text-embedding-3-large"`;
const azureParamsOrDefault =
azureOpenaiParams ??
`\n azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],\n azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],\n openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"],\n`;
const googleParamsOrDefault = googleParams ?? `model="text-embedding-004"`;
const awsParamsOrDefault = awsParams ?? `model_id="amazon.titan-embed-text-v2:0"`;
const huggingFaceParamsOrDefault = huggingFaceParams ?? `model_name="sentence-transformers/all-mpnet-base-v2"`;
const ollamaParamsOrDefault = ollamaParams ?? `model="llama3"`;
const cohereParamsOrDefault = cohereParams ?? `model="embed-english-v3.0"`;
const mistralParamsOrDefault = mistralParams ?? `model="mistral-embed"`;
const nomicsParamsOrDefault = nomicParams ?? `model="nomic-embed-text-v1.5"`;
const nvidiaParamsOrDefault = nvidiaParams ?? `model="NV-Embed-QA"`;
const voyageaiParamsOrDefault = voyageaiParams ?? `model="voyage-3"`;
const ibmParamsOrDefault = ibmParams ??
`\n model_id="ibm/slate-125m-english-rtrvr",\n url="https://us-south.ml.cloud.ibm.com",\n project_id="<WATSONX PROJECT_ID>",\n`;
const fakeEmbeddingParamsOrDefault = fakeEmbeddingParams ?? `size=4096`;
const embeddingVarName = customVarName ?? "embeddings";
const tabItems = [
{
value: "OpenAI",
label: "OpenAI",
text: `from langchain_openai import OpenAIEmbeddings\n\n${embeddingVarName} = OpenAIEmbeddings(${openAIParamsOrDefault})`,
apiKeyName: "OPENAI_API_KEY",
packageName: "langchain-openai",
default: true,
shouldHide: hideOpenai,
},
{
value: "Azure",
label: "Azure",
text: `from langchain_openai import AzureOpenAIEmbeddings\n\n${embeddingVarName} = AzureOpenAIEmbeddings(${azureParamsOrDefault})`,
apiKeyName: "AZURE_OPENAI_API_KEY",
packageName: "langchain-openai",
default: false,
shouldHide: hideAzureOpenai,
},
{
value: "Google",
label: "Google",
text: `from langchain_google_vertexai import VertexAIEmbeddings\n\n${embeddingVarName} = VertexAIEmbeddings(${googleParamsOrDefault})`,
apiKeyName: undefined,
packageName: "langchain-google-vertexai",
default: false,
shouldHide: hideGoogle,
},
{
value: "AWS",
label: "AWS",
text: `from langchain_aws import BedrockEmbeddings\n\n${embeddingVarName} = BedrockEmbeddings(${awsParamsOrDefault})`,
apiKeyName: undefined,
packageName: "langchain-aws",
default: false,
shouldHide: hideAws,
},
{
value: "HuggingFace",
label: "HuggingFace",
text: `from langchain_huggingface import HuggingFaceEmbeddings\n\n${embeddingVarName} = HuggingFaceEmbeddings(${huggingFaceParamsOrDefault})`,
apiKeyName: undefined,
packageName: "langchain-huggingface",
default: false,
shouldHide: hideHuggingFace,
},
{
value: "Ollama",
label: "Ollama",
text: `from langchain_ollama import OllamaEmbeddings\n\n${embeddingVarName} = OllamaEmbeddings(${ollamaParamsOrDefault})`,
apiKeyName: undefined,
packageName: "langchain-ollama",
default: false,
shouldHide: hideOllama,
},
{
value: "Cohere",
label: "Cohere",
text: `from langchain_cohere import CohereEmbeddings\n\n${embeddingVarName} = CohereEmbeddings(${cohereParamsOrDefault})`,
apiKeyName: "COHERE_API_KEY",
packageName: "langchain-cohere",
default: false,
shouldHide: hideCohere,
},
{
value: "MistralAI",
label: "MistralAI",
text: `from langchain_mistralai import MistralAIEmbeddings\n\n${embeddingVarName} = MistralAIEmbeddings(${mistralParamsOrDefault})`,
apiKeyName: "MISTRALAI_API_KEY",
packageName: "langchain-mistralai",
default: false,
shouldHide: hideMistral,
},
{
value: "Nomic",
label: "Nomic",
text: `from langchain_nomic import NomicEmbeddings\n\n${embeddingVarName} = NomicEmbeddings(${nomicsParamsOrDefault})`,
apiKeyName: "NOMIC_API_KEY",
packageName: "langchain-nomic",
default: false,
shouldHide: hideNomic,
},
{
value: "NVIDIA",
label: "NVIDIA",
text: `from langchain_nvidia_ai_endpoints import NVIDIAEmbeddings\n\n${embeddingVarName} = NVIDIAEmbeddings(${nvidiaParamsOrDefault})`,
apiKeyName: "NVIDIA_API_KEY",
packageName: "langchain-nvidia-ai-endpoints",
default: false,
shouldHide: hideNvidia,
},
{
value: "Voyage AI",
label: "Voyage AI",
text: `from langchain-voyageai import VoyageAIEmbeddings\n\n${embeddingVarName} = VoyageAIEmbeddings(${voyageaiParamsOrDefault})`,
apiKeyName: "VOYAGE_API_KEY",
packageName: "langchain-voyageai",
default: false,
shouldHide: hideVoyageai,
},
{
value: "IBM",
label: "IBM watsonx",
text: `from langchain_ibm import WatsonxEmbeddings\n\n${embeddingVarName} = WatsonxEmbeddings(${ibmParamsOrDefault})`,
apiKeyName: "WATSONX_APIKEY",
packageName: "langchain-ibm",
default: false,
shouldHide: hideIBM,
},
{
value: "Fake",
label: "Fake",
text: `from langchain_core.embeddings import DeterministicFakeEmbedding\n\n${embeddingVarName} = DeterministicFakeEmbedding(${fakeEmbeddingParamsOrDefault})`,
apiKeyName: undefined,
packageName: "langchain-core",
default: false,
shouldHide: hideFakeEmbedding,
},
];
const modelOptions = tabItems
.filter((item) => !item.shouldHide)
.map((item) => ({
value: item.value,
label: item.label,
text: item.text,
apiKeyName: item.apiKeyName,
apiKeyText: item.apiKeyText,
packageName: item.packageName,
}));
const selectedOption = modelOptions.find(
(option) => option.value === selectedModel
);
let apiKeyText = "";
if (selectedOption.apiKeyName) {
apiKeyText = `import getpass
import os
if not os.environ.get("${selectedOption.apiKeyName}"):
os.environ["${selectedOption.apiKeyName}"] = getpass.getpass("Enter API key for ${selectedOption.label}: ")`;
} else if (selectedOption.apiKeyText) {
apiKeyText = selectedOption.apiKeyText;
}
return (
<div>
<CustomDropdown
selectedOption={selectedOption}
options={modelOptions}
onSelect={setSelectedModel}
modelType="embeddings"
/>
<CodeBlock language="bash">
{`pip install -qU ${selectedOption.packageName}`}
</CodeBlock>
<CodeBlock language="python">
{apiKeyText ? apiKeyText + "\n\n" + selectedOption.text : selectedOption.text}
</CodeBlock>
</div>
);
}
|