Showing results for version Vector Vector Product
GitHub Repo
https://github.com/bd897/The-Baby-Blas
bd897/The-Baby-Blas
The Baby Blas is a linear algebra library containing six routines. The different routines include the dot product between vectors, the tensor product between vectors, the product between a matrix and a vector, matrix multiplication, a direct linear solver (for equation Ax = b), and an iterative linear solver. The library, however, contains three different versions of each routine. Those are a serial version, a version using POSIX threads, and a third version using OpenMP. The parallel versions of the code also holds all of the parallelism within the function, so the user can use the parallel functions within serial code. The code has also been written in C, but can be called in C or Fortran. We will be comparing the different routines to see which versions work the most efficiently for different situations.
GitHub Repo
https://github.com/DhavalNiphade/Parallel-Matrix-Vector-Products
DhavalNiphade/Parallel-Matrix-Vector-Products
A thread parallel version of Matrix Vector Dot products using OpenMP
GitHub Repo
https://github.com/gabuzi/faiss-complex
gabuzi/faiss-complex
A modified version of Faiss with support for complex vector maximum inner product magnitude search intended for magnetic resonance fingerprinting (MRF)
GitHub Repo
https://github.com/giovannitammaroaws/rag-production-pipeline
giovannitammaroaws/rag-production-pipeline
Production-grade RAG pipeline with CDC-based ingestion, chunk-level re-embedding, batched embeddings, metadata-aware retrieval, and idempotent vector indexing. Asynchronous processing with versioned embeddings, index lifecycle management, and optional agentic orchestration for end-to-end AI systems.
GitHub Repo
https://github.com/fspzar123/Prompt-Visualizer
fspzar123/Prompt-Visualizer
Developed an enterprise-grade multi-LLM chatbot platform enabling users to query and compare responses from multiple large language models and product documentation versions, supporting advanced prompt engineering and contextual retrieval for banking use cases. Implemented semantic comparison and highlighting features using vector embeddings.
GitHub Repo
https://github.com/elifyagmurduran/LLMvectoRAG-product-classifier
elifyagmurduran/LLMvectoRAG-product-classifier
RAG assisted LLM tool and vector embeddings creator for AI enrichment pipeline, to assign GS1 standard categories into messy product data. Fully configurable and adaptable to various tools. Version 2 of the product classifier.
GitHub Repo
https://github.com/anirudh-cec/ecommerce-project-version2-practice
anirudh-cec/ecommerce-project-version2-practice
E-commerce product assistant with Flipkart scraping, vector database integration, and AI-powered search capabilities
GitHub Repo
https://github.com/Svendolin/Modelcar-search-application-FINAL-VERSION
Svendolin/Modelcar-search-application-FINAL-VERSION
In this repo I was building a frontend AND backend based modelcar search application with a react framework called next.js using postgres full-text search and semantic quaring with a vector database and last but not least an EXEL-product catalogue with several cars to feed our database with relevant informations to search for.
GitHub Repo
https://github.com/maxinebadiola/LBYARCH-x86-to-C-
maxinebadiola/LBYARCH-x86-to-C-
Implementation of a dot product kernel in both C and x86-64 assembly language. The kernel performs a dot product operation between two vectors and stores the result in a scalar variable, sdot. Aims to compare the execution time between the release version in VS 2022, the debug version, and the assembly implementation.
GitHub Repo
https://github.com/jnnsbrr/PhotoBioDynamics