LLM Vector DataBases: Get Started with Pinecone
A Quickstart Guide for Getting your Pinecone API key
If you are here is because you are already amazed by Large Language Models (LLMs) and their capabilities!
Am I wrong? 😜
One way to upgrade your LLM-based projects to the next level is by training a GPT model on your custom database. But let’s be fair, no one has a complete and well-structured database at home, nor the resources needed to retrain a big model like OpenAI’s GPT.
On the contrary, most of us have common documents with valuable information, and it is indeed possible to feed those documents and make the GPT aware of this information.
If you are willing to train a model with your own documents, this article is for you!
In this short article, we will talk about the main component when training models on our own documents: the vector database, as well as how to get started with my favorite vector database so far: Pinecone.
Let’s start with a quick introduction!
Why Vector Databases?
Large Language Models have revolutionized the field of natural language understanding and generation. Only one year after the big launch of the well-known ChatGPT, these are…
