main.py

from langchain_openai import ChatOpenAI
from langchain.prompts.prompt import PromptTemplate
from langchain.chains.llm import LLMChain
from langchain_pinecone import PineconeVectorStore
from langchain_openai import OpenAIEmbeddings
from constants import *

# the prompt: we will be changing this soon
prompt = "hello world!"

# Note: we must use the same embedding model that we used when uploading the docs


# Querying the vector database for "relevant" docs then create a retriever

# create a context by using the retriever and getting the relevant docs based on the prompt

# show the thought process by looping over all relevant docs, showing the source and the content


# build a prompt template using the query and the context and build the prompt with context


# Asking the LLM for a response from our prompt with the provided context using CatOpenAI and invoking it
# Then print the results content