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Showing results for google Vector Product
GitHub Repo https://github.com/keshavgarg139/Google-News-Vector-Approach-for-Product-Similarity-

keshavgarg139/Google-News-Vector-Approach-for-Product-Similarity-

Using the Vector Space Model based on Google News to find the similarity between the text and thus further combining that similarity with various parameters for product similarity.
GitHub Repo https://github.com/faris771/Production-Ready-RAG

faris771/Production-Ready-RAG

A production-grade Retrieval Augmented Generation (RAG) system built with FastAPI, Inngest, Qdrant, and Google Gemini. This system allows you to ingest PDF documents, store their embeddings in a vector database, and query them using natural language with AI-powered responses.
StackOverflow https://stackoverflow.com/questions/75943513/cupy-is-slower-than-numpy-at-emulating-dot-product-with-one-hot-vector

Cupy is slower than numpy at emulating dot product with one hot vector

Tags: python, python-3.x, numpy, cupy
GitHub Repo https://github.com/SthembisoMfusi/The-product-compass

SthembisoMfusi/The-product-compass

A Python and Node.js-based e-commerce application that leverages Google's BigQuery to provide intelligent, semantic product recommendations. This project moves beyond simple category-based suggestions by using vector embeddings and vector search to find functionally and stylistically similar substitute products when an item is out of stock.
StackOverflow https://stackoverflow.com/questions/71381609/why-the-algorithm-for-dot-product-return-value-different-from-the-dot-product-in

Why the algorithm for dot product return value different from the dot product in google?

Tags: unity-game-engine, math
GitHub Repo https://github.com/CoreyVidal/Google-products-vector-logos

CoreyVidal/Google-products-vector-logos

A collection of only the highest quality and most accurate icons for various Google products.
StackOverflow https://stackoverflow.com/questions/11644356/what-does-it-mean-to-normalize-a-value

What does it mean to normalize a value?

Tags: opengl, glsl, normalization
StackOverflow https://stackoverflow.com/questions/29267130/google-spreadsheet-vector-like-operations-on-columns

Google Spreadsheet: vector-like operations on columns

Tags: math, google-sheets, calculated-columns
StackOverflow https://stackoverflow.com/questions/8732801/intel-math-library

Intel math library

Tags: math, intel
GitHub Repo https://github.com/123NeNaD/semantic-image-search-with-mongodb

123NeNaD/semantic-image-search-with-mongodb

A demo application that implements semantic image search using MongoDB's Vector Search and Google's Vertex AI multi-modal model. The application allows users to search through an e-commerce dataset of 44,000 fashion products using either natural language descriptions or uploading an image of a similar product.
StackOverflow https://stackoverflow.com/questions/4120681/how-to-calculate-single-vector-dot-product-using-sse-intrinsic-functions-in-c

How to Calculate single-vector Dot Product using SSE intrinsic functions in C

Tags: c, optimization, vectorization, sse, simd
StackOverflow https://stackoverflow.com/questions/77474624/why-is-the-creation-of-an-vertex-ai-vector-search-index-formally-known-as-match

Why is the creation of an Vertex AI Vector Search Index (formally known as Matching Engine) so slow?

Tags: vector, google-cloud-vertex-ai, faiss, vector-search
StackOverflow https://stackoverflow.com/questions/51974524/product-operator-of-n-matrices-without-a-loop

Product operator of n matrices without a loop

Tags: python, numpy
StackOverflow https://stackoverflow.com/questions/68711957/heuristic-to-choose-five-column-arrays-that-maximise-the-dot-product

Heuristic to choose five column arrays that maximise the dot product

Tags: python, numpy, scipy, or-tools, heuristics
GitHub Repo https://github.com/ShubhamSiddharth/rag_production-app

ShubhamSiddharth/rag_production-app

An event-driven Retrieval-Augmented Generation (RAG) system that allows users to upload PDFs and ask context-aware questions using Google Gemini, Qdrant, FastAPI, Inngest, and Streamlit. Designed with production-inspired workflows, rate-limit handling, and scalable vector search.
StackOverflow https://stackoverflow.com/questions/23919315/google-customview-example-dot-vs-cross-products

Google customview example: Dot vs Cross Products

Tags: android
GitHub Repo https://github.com/google/vectorio

google/vectorio

Library for Go (golang) to implement writev system call (not an official Google product)
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/mohammedanasa/rag-production-app

mohammedanasa/rag-production-app

A minimal RAG stack that ingests PDFs, chunks them, embeds with Google GenAI, stores vectors in Qdrant, and answers questions using an Inngest workflow.
GitHub Repo https://github.com/Omerbea/vector-catalog

Omerbea/vector-catalog

Semantic product catalog — Google Gemini embeddings generated by a PostgreSQL trigger, not your application