embed Vector Vector Vector Vector Product

GitHub Repo https://github.com/szeyu/Vector-Search-From-Scratch

szeyu/Vector-Search-From-Scratch

This repository implements a vector search solution based on image and text embeddings. Users can search for similar products using an image or a textual description.

GitHub Repo https://github.com/easonlai/product_recommendations_with_gpt

easonlai/product_recommendations_with_gpt

I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recommend products based on cosine similarity, but with better results. You can find the updated repo here.

GitHub Repo https://github.com/JihoonChung/CTC-Product-and-Store-Vectorization

JihoonChung/CTC-Product-and-Store-Vectorization

This project is a collaboration between the University of Toronto and Canadian Tire Corporation, aimed at developing advanced embedding methods for AI/ML applications to improve data representation and model performance.

GitHub Repo https://github.com/vishwassathish/Sentiment-Analysis-for-product-reviews

vishwassathish/Sentiment-Analysis-for-product-reviews

Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

GitHub Repo https://github.com/playwithllm/store

playwithllm/store

A RAG-driven image product search that showcases MERN, Milvus for vector indexing, Transformers, and a local Ollama Gemma LLM. Explore integrated embeddings, store vectors in Milvus, and manipulate queries with advanced language understanding.

GitHub Repo https://github.com/builde7b0b/Vector_EmbeDDOR

builde7b0b/Vector_EmbeDDOR

Vector Embedding / Data / Product Descriptions

GitHub Repo https://github.com/ckrapu/vectorgeo

ckrapu/vectorgeo

Geospatial vector embedding data product for the whole world

GitHub Repo https://github.com/GoogleCloudPlatform/psearch

GoogleCloudPlatform/psearch

AI-powered product search platform built on Google Cloud Platform (GCP). Leverages Spanner's hybrid search capabilities (vector similarity & text search), Vertex AI (Gemini & embedding APIs), and a microservices architecture (Cloud Run). Features AI-driven filter suggestions, content enrichment, and a rules engine. See README for details.

GitHub Repo https://github.com/lior-k/fast-elasticsearch-vector-scoring

lior-k/fast-elasticsearch-vector-scoring

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

GitHub Repo https://github.com/vintasoftware/entity-embed

vintasoftware/entity-embed

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.