prettier
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5b1aaee605
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63 changed files with 1132 additions and 1853 deletions
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@ -1,13 +1,9 @@
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import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
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import { ChatOllama } from '@langchain/community/chat_models/ollama';
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import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
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import { HuggingFaceTransformersEmbeddings } from './huggingfaceTransformer';
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import {
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getGroqApiKey,
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getOllamaApiEndpoint,
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getOpenaiApiKey,
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} from '../config';
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import logger from '../utils/logger';
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import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
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import { ChatOllama } from "@langchain/community/chat_models/ollama";
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import { OllamaEmbeddings } from "@langchain/community/embeddings/ollama";
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import { HuggingFaceTransformersEmbeddings } from "./huggingfaceTransformer";
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import { getGroqApiKey, getOllamaApiEndpoint, getOpenaiApiKey } from "../config";
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import logger from "../utils/logger";
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export const getAvailableChatModelProviders = async () => {
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const openAIApiKey = getOpenaiApiKey();
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@ -18,25 +14,25 @@ export const getAvailableChatModelProviders = async () => {
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if (openAIApiKey) {
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try {
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models['openai'] = {
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'GPT-3.5 turbo': new ChatOpenAI({
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models["openai"] = {
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"GPT-3.5 turbo": new ChatOpenAI({
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openAIApiKey,
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modelName: 'gpt-3.5-turbo',
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modelName: "gpt-3.5-turbo",
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temperature: 0.7,
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}),
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'GPT-4': new ChatOpenAI({
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"GPT-4": new ChatOpenAI({
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openAIApiKey,
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modelName: 'gpt-4',
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modelName: "gpt-4",
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temperature: 0.7,
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}),
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'GPT-4 turbo': new ChatOpenAI({
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"GPT-4 turbo": new ChatOpenAI({
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openAIApiKey,
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modelName: 'gpt-4-turbo',
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modelName: "gpt-4-turbo",
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temperature: 0.7,
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}),
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'GPT-4 omni': new ChatOpenAI({
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"GPT-4 omni": new ChatOpenAI({
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openAIApiKey,
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modelName: 'gpt-4o',
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modelName: "gpt-4o",
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temperature: 0.7,
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}),
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};
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@ -47,45 +43,45 @@ export const getAvailableChatModelProviders = async () => {
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if (groqApiKey) {
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try {
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models['groq'] = {
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'LLaMA3 8b': new ChatOpenAI(
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models["groq"] = {
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"LLaMA3 8b": new ChatOpenAI(
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{
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openAIApiKey: groqApiKey,
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modelName: 'llama3-8b-8192',
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modelName: "llama3-8b-8192",
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temperature: 0.7,
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},
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{
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baseURL: 'https://api.groq.com/openai/v1',
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baseURL: "https://api.groq.com/openai/v1",
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},
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),
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'LLaMA3 70b': new ChatOpenAI(
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"LLaMA3 70b": new ChatOpenAI(
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{
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openAIApiKey: groqApiKey,
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modelName: 'llama3-70b-8192',
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modelName: "llama3-70b-8192",
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temperature: 0.7,
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},
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{
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baseURL: 'https://api.groq.com/openai/v1',
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baseURL: "https://api.groq.com/openai/v1",
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},
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),
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'Mixtral 8x7b': new ChatOpenAI(
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"Mixtral 8x7b": new ChatOpenAI(
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{
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openAIApiKey: groqApiKey,
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modelName: 'mixtral-8x7b-32768',
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modelName: "mixtral-8x7b-32768",
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temperature: 0.7,
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},
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{
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baseURL: 'https://api.groq.com/openai/v1',
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baseURL: "https://api.groq.com/openai/v1",
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},
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),
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'Gemma 7b': new ChatOpenAI(
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"Gemma 7b": new ChatOpenAI(
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{
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openAIApiKey: groqApiKey,
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modelName: 'gemma-7b-it',
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modelName: "gemma-7b-it",
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temperature: 0.7,
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},
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{
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baseURL: 'https://api.groq.com/openai/v1',
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baseURL: "https://api.groq.com/openai/v1",
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},
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),
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};
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@ -98,14 +94,14 @@ export const getAvailableChatModelProviders = async () => {
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try {
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const response = await fetch(`${ollamaEndpoint}/api/tags`, {
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headers: {
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'Content-Type': 'application/json',
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"Content-Type": "application/json",
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},
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});
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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const { models: ollamaModels } = (await response.json()) as any;
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models['ollama'] = ollamaModels.reduce((acc, model) => {
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models["ollama"] = ollamaModels.reduce((acc, model) => {
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acc[model.model] = new ChatOllama({
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baseUrl: ollamaEndpoint,
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model: model.model,
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@ -118,7 +114,7 @@ export const getAvailableChatModelProviders = async () => {
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}
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}
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models['custom_openai'] = {};
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models["custom_openai"] = {};
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return models;
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};
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@ -131,14 +127,14 @@ export const getAvailableEmbeddingModelProviders = async () => {
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if (openAIApiKey) {
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try {
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models['openai'] = {
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'Text embedding 3 small': new OpenAIEmbeddings({
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models["openai"] = {
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"Text embedding 3 small": new OpenAIEmbeddings({
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openAIApiKey,
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modelName: 'text-embedding-3-small',
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modelName: "text-embedding-3-small",
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}),
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'Text embedding 3 large': new OpenAIEmbeddings({
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"Text embedding 3 large": new OpenAIEmbeddings({
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openAIApiKey,
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modelName: 'text-embedding-3-large',
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modelName: "text-embedding-3-large",
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}),
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};
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} catch (err) {
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@ -150,14 +146,14 @@ export const getAvailableEmbeddingModelProviders = async () => {
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try {
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const response = await fetch(`${ollamaEndpoint}/api/tags`, {
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headers: {
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'Content-Type': 'application/json',
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"Content-Type": "application/json",
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},
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});
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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const { models: ollamaModels } = (await response.json()) as any;
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models['ollama'] = ollamaModels.reduce((acc, model) => {
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models["ollama"] = ollamaModels.reduce((acc, model) => {
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acc[model.model] = new OllamaEmbeddings({
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baseUrl: ollamaEndpoint,
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model: model.model,
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@ -170,15 +166,15 @@ export const getAvailableEmbeddingModelProviders = async () => {
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}
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try {
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models['local'] = {
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'BGE Small': new HuggingFaceTransformersEmbeddings({
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modelName: 'Xenova/bge-small-en-v1.5',
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models["local"] = {
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"BGE Small": new HuggingFaceTransformersEmbeddings({
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modelName: "Xenova/bge-small-en-v1.5",
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}),
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'GTE Small': new HuggingFaceTransformersEmbeddings({
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modelName: 'Xenova/gte-small',
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"GTE Small": new HuggingFaceTransformersEmbeddings({
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modelName: "Xenova/gte-small",
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}),
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'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
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modelName: 'Xenova/bert-base-multilingual-uncased',
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"Bert Multilingual": new HuggingFaceTransformersEmbeddings({
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modelName: "Xenova/bert-base-multilingual-uncased",
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}),
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};
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} catch (err) {
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