Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

Cloud-native vector similarity search and storage with efficient, serverless scale-out

Embed anything.

V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

A vector similarity search engine for humans🥳

An Effective and Scalable Framework for Multimodal Search with Target Modality

Client SDK for starpoint.ai

Scalable API extension for advanced vector database functions. Enhance machine learning, search, and analytics applications with an API that supports efficient embedding storage and similarity searches.

Research project to enable natural language interaction with Pennsieve medical database.

Comparison of IVFFlat and HNSW Algorithms

Utilizing Redis Vector Similarity Search, this demo project streamlines expense categorization from bank transactions. The approach harnesses pre-trained models, sidestepping the need for finetuning. This ensures efficient, accurate expense categorization without complex model adjustments

Penn Course Information System is designed to provide students with a comprehensive tool to navigate and explore the courses offered at the University of Pennsylvania. It offers several features to simplify the course selection process and help students make informed decisions.

Implementation of various vector rank fusion algorithms

Approximate vector similarity search and clustering using Locality Sensitive Hashing (LSH), Hypercube, and k-medians

Invoice de-duplication via Azure Form Recognition, OpenAI, Apache Airflow and Redis Enterprise VSS