FAISS Vector Library with LangChain and OpenAI (Semantic Search)

In this video, we take a look at the Facebook AI Similarity Search (FAISS) vector library. Through a few examples, we will grab a document, chunk it, set up embeddings, and search through it.

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🍿 WATCH NEXT
OpenAI/Langchain Playlist:    • How to Build Your First AI LLM Prompt...  
Vector Embeddings:    • LangChain (OpenAI) Vector Embeddings ...  
Langchain Chains:    • LangChain Chains for Beginners: An Ea...  
Streamlit Langchain:    • Learn to Build Exciting LLM applicati...  

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WHO AM I?
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.

This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.

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