gswithjeff

import os
from pinecone import Pinecone
from llama_index.llms.gemini import Gemini
from llama_index.vector_stores.pinecone import PineconeVectorStore
from llama_index.embeddings.gemini import GeminiEmbedding
from llama_index.core import StorageContext, VectorStoreIndex, download_loader

from llama_index.core import Settings

GOOGLE_API_KEY = "YOUR_API_KEY"

gswithjeff

# https://www.gettingstarted.ai
# email: jeff@gettingstarted.ai
# written by jeff

from langchain.chains import LLMChain
from botocore.client import Config
from langchain_community.llms import Bedrock
from langchain_core.prompts import PromptTemplate

from langchain.chains import RetrievalQA

gswithjeff

# https://www.gettingstarted.ai
# email: jeff@gettingstarted.ai
# written by jeff

from dotenv import find_dotenv, load_dotenv

from langchain_openai import ChatOpenAI
from langchain_core.prompts import PromptTemplate
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.output_parsers import JsonOutputParser

gswithjeff

import os
from pinecone import Pinecone
from llama_index.llms import Gemini
from llama_index.vector_stores import PineconeVectorStore
from llama_index.storage.storage_context import StorageContext
from llama_index.embeddings import GeminiEmbedding
from llama_index import ServiceContext, VectorStoreIndex, download_loader, set_global_service_context

GOOGLE_API_KEY = "..."
PINECONE_API_KEY = "..."

gswithjeff

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using Microsoft.SemanticKernel;
using Plugins;

// Import the Kernel class from the Microsoft.SemanticKernel namespace
using Kernel = Microsoft.SemanticKernel.Kernel;

// Create a new Kernel builder
var builder = Kernel.CreateBuilder();

gswithjeff

# https://www.gettingstarted.ai
# email: jeff@gettingstarted.ai
# written by jeff

# Don't forget to set your OPEN_AI_KEY
# In your terminal execute this command: export OPENAI_API_KEY="YOUR_KEY_HERE"

# Import required modules from the LangChain package
from langchain.chains import RetrievalQA
from langchain.vectorstores import Chroma

gswithjeff

# https://www.gettingstarted.ai
# email: jeff@gettingstarted.ai
# written by jeff

# Import necessary libraries
import json
import time
from openai import OpenAI

# Initialize OpenAI client with your API key

gswithjeff

# https://www.gettingstarted.ai
# email: jeff@gettingstarted.ai
# written by jeff

import time
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
)

gswithjeff

# https://www.gettingstarted.ai
# do not forget to set your OPEN_API_KEY environment variable

from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import Milvus
from langchain.document_loaders import TextLoader


loader = TextLoader("state_of_the_union.txt")

gswithjeff

from typing import List

from dotenv import load_dotenv
from langchain.llms import OpenAI
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts import PromptTemplate
from pydantic import BaseModel, Field

load_dotenv()