Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Epsilla is a high performance Vector Database Management System

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

A tiny embedding database in pure Rust.

A curated list of awesome works related to high dimensional structure/vector search & database

High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡

Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.

Vector similarity can be used to find similar products, articles and much more. In this tutorial, we will show you how to use Redis to index and search for similar vectors

The Real Time Social Media Content Retrieval System fetches real-time LinkedIn posts based on user queries, offering multiple post retrieval and customization options. Although initially focused on LinkedIn, it can be expanded to incorporate other social media platforms, facilitating cross-channel post similarity searches.

LegalAI is a passion project which explores and simplifies the complexities of obtaining legal information using LLMs.

The repository is aimed at providing practical examples and resources for developers and researchers interested in applying LM and GPT models to real-world NLP problems.

Orchestrating the interaction between users and Large Language Models

asctb-ct-label-mapper: A package to recommend controlled vocabulary for annotations of scRNA-seq datasets. and thereby enable cross-dataset or cross-experiment comparison of annotations.

An essentia-based tool for extracting features from a collection of audio files. Two simple user interfaces, to create playlists and explore track similarities based on extracted audio features and embeddings.

Demos to test modelling and classification algorithms for face recognition

Building representation in the vector space

Analysis of embeddings and age biases in image generation models using CLIP, DINO, ResNet and Stable Diffusion XL