If you have access to LangSmith, you can edit these environment variables to enable: LANGCHAIN_TRACING_V2=false # default off LANGCHAIN_ENDPOINT=https://api.smith.langchain.com LANGCHAIN_API_KEY=YOUR_LANGCHAIN_API_KEY LANGCHAIN_PROJECT=YOUR_LANGCHAIN_PROJECT And it should work out of the...
fromlangchain_community.embeddingsimportHuggingFaceHubEmbeddingsfromcompsimportregister_microservice,EmbedDoc,ServiceType,TextDoc@register_microservice(name="opea_service@embedding_tgi_gaudi",service_type=ServiceType.EMBEDDING,endpoint="/v1/embeddings",host="0.0.0.0",port=6000,input_datatype=TextDoc,output...
%pip install databricks-vectorsearch dbutils.library.restartPython() from databricks.vector_search.client import VectorSearchClient Create a vector search endpointYou can create a vector search endpoint using the Databricks UI, Python SDK, or the API.Create...
In this sample, I demonstrate how to quickly build chat applications usingPythonand leveraging powerful technologies such asOpenAI ChatGPT models,Embedding models,LangChainframework,ChromaDBvector database, andChainlit, an open-source Python package that is specifically designed...
Use the get-member command to get the CA endpoint for your member, as shown in the following example. Replace the values of --network-id and --member-id with the values returned in Step 1: Create the Network and First Member.aws managedblockchain get-member \ --network-id n-M...
b.store_bulk_transactions([tx2])# test that both assets are returned without limitres = client.get(METADATA_ENDPOINT +'?search=meta')assertres.status_code ==200assertlen(res.json) ==2# test that only one asset is returned when using limit=1res = client.get(METADATA_ENDPOINT +'?search=...
from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent from langchain_openai import AzureOpenAI from dotenv import load_dotenv import os import streamlit as st def main(): load_dotenv() endpoint = os.getenv("AOAIEndpoint") api_key = os.getenv("AOAIKey"...
import openai import configparser # Initialize the parser config = configparser.ConfigParser() # Read the config file config.read('..\config.ini') # Configure the openai library openai.api_key = config['DEFAULT']['azure_openai_key'] openai.api_base = config['DEFAULT']['azure_endpoint']...
config = open_api_models.Config(access_key_id=self.access_key_id, access_key_secret=self.access_key_secret) config.endpoint = f'gpdb.aliyuncs.com' self.client = gpdb20160503Client(config) return def getInsAttrs(self): describe_dbinstance_on_ecsattribute_request = gpdb_...
Create an Image Classification Job using the AutoML API Datasets Format and Objective Metric Deploy Autopilot Models Explainability Report Model Performance Report Create a Text Classification job using the AutoML API Datasets Format and Objective Metric Deploy Autopilot Models for Prediction Explainability Re...