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In our last video, we discussed vector
databases, what they are and why they are

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essential for LLM applications.

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In this lecture, we ll delve into

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Pinecone, which is one of the most
popular vector databases out there.

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Pinecone is a high -performance, scalable
and distributed distributed vector store

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designed for LLMs.

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To use it, you ll need an API key for authentication.

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First, head over to pinecone .io and sign
up for a free account.

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Once you are logged in, navigate to the
API Keys section to generate a new key.

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Enter a name for the key and generate it.

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Copy this key to your clipboard and

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create a variable in your .tnv file named
pinecone -api -key with the value of the key.

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In my case, I am opening the .tnv file
from the project directory and appending

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the following line pinecone -api -key
equals and the key between double quotes.

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I am saving the file.

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Remember, it s crucial to keep all your

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keys secure.

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After recording this video, I ll delete

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this key just as I ll do for any other
keys used in this project.

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Next, I ll load the keys from the .tnv
file as environment variables using

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python .tnv.

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Make sure that you have installed the

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pinecone -client library, if not, run pip
install -q pinecone -client.

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To upgrade the library to its latest
version, run pip install -upgrade -q

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pinecone -client and to display the
version of the installed library, run pip

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show pinecone -client.

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With the new client, import the pinecone class.

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It is written with a capital P.

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Next, I will instantiate an object of the

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pinecone class, pc equals and I am
calling the constructor.

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This constructor expects an environment
variable called pinecone -api -key.

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If you ve already created and loaded such
a variable into memory as we did, the

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authentication is automatically handled.

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However, if you haven t loaded the

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environment variable, you should
explicitly pass an argument named api

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-key with your keys value to the pinecone constructor.

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Like this, api -key equals and your api -key.

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After creating the pinecone instance, you
can check if it is successfully connected

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by attempting to perform an operation
that requires authentication.

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For instance, you can create an index or
list all existing indexes.

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If the operation completes without
errors, your authentication is working.

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It completed without errors, so the
authentication is working.