we'll walk you through how to harness the power of Pinecone and OpenAI's GPT-4 to find the needle in the haystack when it comes to text-based data. This can be used for a plethora of use-cases when combined with powerful LLMs.
We'll show you how to transform text into something computers can easily understand and compare, known as embeddings all within bubble.io.
But that's not all! We'll also guide you through storing these embeddings and their metadata in Pinecone, a vector search and storage service that makes organizing and accessing your data a breeze.
This will be the first step in the process to set you up to be able to use upload and ingest your own data so you can create custom LLMs The best part? You don't need a degree in computer science to follow along! We can leverage no code tools.
As mentioned this is the first step of the process in of creating an LLM powered application that can handle large documents of data (such as your company's knowledge base)
From here would could then use the metadata that was returned from pinecone and utilize that as context with another user-generated prompt to help answer & resolve a customer related query
This paired with agents pulling external company data such as CRM, order history, live tracking data, etc. Can really make something valuable
If you want a step-by-step tutorial on this check out my youtube video that will be going live here on my channel soon!
https://www.youtube.com/@nocodeblackbox