Showing results for Embedded Vector Vector Product
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/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/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/ckrapu/vectorgeo
ckrapu/vectorgeo
Geospatial vector embedding data product for the whole world
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/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/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/zer0-A1/Semantic_Search
zer0-A1/Semantic_Search
A FastAPI semantic search system for company/product data. It processes Excel/CSV files, uses OpenAI's text-embedding-3-small model to generate AI embeddings, and performs vector similarity searches via PostgreSQL with pgvector.
GitHub Repo
https://github.com/builde7b0b/Vector_EmbeDDOR