Chat GPT With Own Data with Pinecone Vector Database, Text Embeddings Langchain, and Strapi

#openai #chatgpt #pinecone #langchain #strapi #ai #cms #machinelearning

Chat GPT With Own Data with Pinecone Vector Database, Text Embeddings Langchain, and Strapi

In this video, I will review a plugin I am building using Open AiI API, Langchain, Pinecone, and Strapi to give our chat memory and context.

You will be able to create embeddings that you can provide to chat gpt to allow it to answer questions about your knowledge base.

These embeddings store data and give your Chat GPT the context it needs.

Then we will store does embedding within
Pinecone is a vector database that facilitates long-term memory.

To bootstrap our project, we will use Strapia headless CMS that lets you build APIs rapidly.

We will store all of our logic within a plugin that can be shared with any other Strapi user.

I hope you enjoy the video.

Remember to like, comment, share, and subscribe.

I know there are a lot of other awesome channels out here, so thank you for choosing mine.

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Check out my other videos.
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[CodingAfterThirty]

Thank you for checking out the video, I know there is a lot of other channels out there so thank you for giving me your time. Let me know if you would like to see a tutorial covering how I build this. You can also chat with me Monday - Friday 12:30 PM @strapi discord channel.

[Trecia_KS]

WOAH! This is such an awesome plugin 😮🎉

[phil_genie]

Hey amazing video, can we see the source code somewhere?