LangChain (OpenAI) Vector Embeddings For Beginners

Grabbing vector embeddings is a critical step in building out vector databases. Which is needed when you eventually build out more complex Large Language Models.
In this video I cover how you can build these out in Langchain with OpenAI.
Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website.
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As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.
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[@nullcheck6539]

Just perfect! Great video.. I am currently working on a project to use gen AI to suggest some recommendation offers and chatbot to ask regarding the same.. It would be really helpful if you could help me with the learning curve and streamlining the ideas😊

[@RyanNolanData]

I have more Ai vids coming out next week. Back into that grind

[@lancerkind]

Nice video that shows what’s happening under the hood.

[@RyanNolanData]

Thank you. My latest vid I show a vector library with embeddings

[@sauravk5010]

Really great video man, I am currently working on my first langchain project and need some assistance, i want to build a chatbot using OpenAi's Assistant api and langchain so that whatever website the chatbot is deployed to it will scrape the data and will pass it to the Assistant to be used as knowledge base

[@RyanNolanData]

Shot you a message on discord. Thank you