Setting Up the Answer Engine

The video introduces an open-source answer engine similar to Perplexity, which uses AI to provide direct answers to queries. It details the project's setup, including technologies like Next.js, Vercel, and OpenAI. The tutorial covers installation, configuration, and running models locally, with troubleshooting tips for using Olama and other models.

What is the primary function of the open-source version of Perplexity?

• To serve as a social media network

• To offer a direct answer engine using AI

• To provide a platform for video streaming

• To function as an online shopping site

What feature does the answer engine demonstrate when asked about making ramen?

• It provides a list of restaurants

• It shows step-by-step instructions with sources

• It redirects to a cooking blog

• It offers a live cooking class

Which technology is NOT mentioned as part of the project's development?

• OpenAI Embeddings

• TensorFlow

• LangChain

• Vercel

What is the first step in setting up the answer engine locally?

• Open VS Code and clone the repository

• Install a new operating system

• Download a video editing software

• Open a web browser

Which API key is NOT required for setting up the answer engine?

• OpenAI

• Grock

• YouTube

• Brave

What command is used to run the answer engine locally?

• bun run dev

• npm start

• docker-compose up

• python manage.py runserver

What is the main challenge faced when running models locally with Olama?

• Insufficient storage space

• Incompatibility with Windows OS

• Lack of internet connection

• Difficulty in getting the model to respond correctly

What is the purpose of replacing the base URL when running models locally?

• To point to the Olama served endpoint

• To connect to a different database

• To update the software version

• To change the server location

What is the size of the Mistol model mentioned for local download?

• 4 GB

• 6 GB

• 8 GB

• 2 GB

What is the expected outcome if the project gains enough momentum?

• The project will become a paid service

• The project will be integrated into Google Search

• Local embeddings will replace OpenAI embeddings

• The project will be discontinued