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Showing results for Engine Vector Vector Product
GitHub Repo https://github.com/SuperVan-Young/pim-project

SuperVan-Young/pim-project

Simulation of 8T-SRAM X-CIM as matrix-vector dot-product engines (DPEs).
GitHub Repo https://github.com/andreiionutdamian/ProVe

andreiionutdamian/ProVe

Product Vector Engine
GitHub Repo https://github.com/abzeefly/product-recommendation-engine-vector-dbs

abzeefly/product-recommendation-engine-vector-dbs

A repository to setup a product recommendation engine using vector databases.
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/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/n10Hacx/social-engineer-toolkit-https-github.com-trustedsec-social-engineer-toolkit

n10Hacx/social-engineer-toolkit-https-github.com-trustedsec-social-engineer-toolkit

The Social-Engineer Toolkit (SET) Copyright 2015 The Social-Engineer Toolkit (SET) Written by: David Kennedy (ReL1K) Company: TrustedSec DISCLAIMER: This is only for testing purposes and can only be used where strict consent has been given. Do not use this for illegal purposes, period. Please read the LICENSE under readme/LICENSE for the licensing of SET. Features The Social-Engineer Toolkit is an open-source penetration testing framework designed for social engineering. SET has a number of custom attack vectors that allow you to make a believable attack quickly. SET is a product of TrustedSec, LLC – an information security consulting firm located in Cleveland, Ohio. Bugs and enhancements For bug reports or enhancements, please open an issue here: https://github.com/trustedsec/social-engineer-toolkit/issues Supported platforms Linux Windows (experimental) Mac OS X (partial)
GitHub Repo https://github.com/mahditaghsimi/AI-product-search

mahditaghsimi/AI-product-search

AI-based engine for finding the best matching products from a dataset using vector embeddings.
GitHub Repo https://github.com/SriPrarabdha/vector_db_from_scratch

SriPrarabdha/vector_db_from_scratch

A high-performance vector database implemented in modern C++ from scratch. Supports ANN search using HNSW, IVF, and Product Quantization (PQ). Designed as a Faiss-like vector search engine for learning and experimentation.
GitHub Repo https://github.com/christian-nickerson/vector-search-engine

christian-nickerson/vector-search-engine

A vector search engine for searching for Nike products using natural language
GitHub Repo https://github.com/purusottam11/Recommendation-Engine-VectorDb

purusottam11/Recommendation-Engine-VectorDb

AI-powered personalized product recommendation engine using Spring Boot 3 and vector similarity search.