Information Retrieval/Semantic Search with Chroma DB | Amazon Product Search using Python

⭐️ Content Description ⭐️
In this video, we explore how to build an information retrieval system using Chroma DB for Amazon product search with Python. We cover the fundamentals of vector databases, how to store and index product data efficiently, and perform similarity-based searches for accurate and fast retrieval. By leveraging embeddings and Chroma DB’s capabilities, we demonstrate how to enhance search relevance and improve product discovery.
GitHub Code Repo: https://github.com/aswintechguy/Pytho...
Dataset link: https://www.kaggle.com/datasets/karka...

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🕒 Timeline
00:00 Introduction to Chroma DB
01:04 Load and Process Dataset
07:45 Setup Chroma DB
13:28 Perform Vector Search using Chroma DB
17:30 Delete and Update Information

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