Refactoring vectordb naming convention in embedchain.config

[vatsalrathod16]

Description

Renamed the vectordb with snakecase convention and refactored the code as required.

Fixes #734

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Refactor (does not change functionality, e.g. code style improvements, linting)
• Documentation update

How Has This Been Tested?

Tested with Google embedder and LLM

import os
import requests
from bs4 import BeautifulSoup
from embedchain import App

app = App.from_config(config_path="config.yaml")
app_link = "https://en.wikipedia.org/wiki/Kobbie_Mainoo"
app.add(app_link)

while True:
    question = input("Enter question: ")
    if question in ["q", "exit", "quit"]:
        break
    answer = app.query(question)
    print(answer)

Config.yaml

llm:
  provider: google
  config:
    model: gemini-pro
    max_tokens: 1000
    temperature: 0.5
    top_p: 1
    stream: false

embedder:
  provider: google
  config:
    model: 'models/embedding-001'
    task_type: "retrieval_document"
    title: "Embeddings for Embedchain"

• Unit Test
• Test Script (please provide)

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged and published in downstream modules
• I have checked my code and corrected any misspellings

Maintainer Checklist

• closes #xxxx (Replace xxxx with the GitHub issue number)
• Made sure Checks passed