[OctoAI] Llama-3 based summarization + RAG to power a sales bot

[tmoreau89]

What does this PR do?

Introducing a new Llama3 example that is built on top of OctoAI model API provider and Weaviate vector DB to implement a helpful sales bot.

Example interaction:

User: "what is must have accessory for my new electric guitar"

Chatbot:

Congratulations on your new electric guitar! A must-have accessory for your new electric guitar is a good case to protect it from damage and scratches. I highly recommend the Solid Electric Guitar Case with Accessories Compartment. This case provides good protection and has a roomy accessories compartment to store your guitar's accessories. Another great option is the Hard Guitar Case with Accessory Compartments, which is sturdy and has additional compartments for accessories. If you're looking for a more affordable option, the Affordable Solid Body Electric Guitar Case is a great choice. It's well-built, durable, and fits various solid body electric guitars. References: [1] Solid Electric Guitar Case with Accessories Compartment [2] Hard Guitar Case with Accessory Compartments [3] Affordable Solid Body Electric Guitar Case

Feature/Issue validation/testing

Ran on a local jupyter notebook on Macbook M1.

Before submitting

• [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• [ ] Did you read the contributor guideline, Pull Request section?
• [ ] Was this discussed/approved via a Github issue? Please add a link to it if that's the case.
• [x] Did you make sure to update the documentation with your changes?
• [ ] Did you write any new necessary tests?

Thanks for contributing 🎉!