RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

A fast, efficient universal vector embedding utility package.

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

🤖 Icon Pack for Android

NucliaDB, The AI Search database for RAG

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

Fast word vectors with little memory usage in Python

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Postgres/pgvector Python Client

Vector-geometry toolbelt for 3D points and vectors

(distributed) vector database

a modular multimodal framework for ai applications

A demo app showcasing Vector Search using Azure AI Search, Azure OpenAI for text embeddings, and Azure AI Vision for image embeddings.

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

A python back-end web app to visualize a two dimensional vector field, and to calculate divergence and curl at any point.

Coordinates in JAX

Simple Icons Blender add-on

Hyperdimensional Computing Library for building Vector-Symbolic Architectures in Python 3

Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)