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Supercharge eCommerce Search - OpenAI's CLIP, BM25, and Python

James Briggs via YouTube

Overview

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This course demonstrates how to build a multimodal hybrid e-commerce search engine in Python. It covers CLIP, BM25 sparse vectors, dense embeddings, Pinecone indexing and retrieval, hybrid queries, and product metadata filtering.

Syllabus

Multi-modal hybrid search
Multi-modal hybrid search in e-commerce
How do we construct multi-modal embeddings
Difference between sparse and dense vectors
E-commerce search in Python
Connect to Pinecone vector db
Creating a Pinecone index
Data preparation
Creating BM25 sparse vectors
Creating dense vectors with sentence transformers
Indexing everything in Pinecone
Making hybrid queries
Mixing dense vs sparse with alpha
Adding product metadata filtering
Final thoughts on search

Taught by

James Briggs

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