vector

Scalable Embedded Vector Index for Go and Rust

⚡️Lightning fast in-memory VectorDB written in rust🦀

A unified SDK for IronCore encryption operations including vector encryption for AI data

LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.

Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models

A high-performance, in-memory vector database written in Rust, designed for semantic search and top-k nearest neighbor queries in AI-driven applications, with binary file persistence for durability.

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

Our powerful image search engine uses vector databases to store and search for similar images. Upload your images and use an input image to quickly identify the closest matches. With our app, you can easily organize and search your image collection with speed and accuracy. Try it today!

An open-source OpenAI wrapper for a RAG-based chatbot that seamlessly integrates with your documents.

Simple RAG system powered by Milvus.

Vectorify package for Laravel

Vectorstores is a framework for using vector databases in your AI applications

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

High-Ratio Vector Quantization

Part of the LangChain.NET project. Has separate abstractions, does not contain dependencies on the main project and can be used independently

The blazingly fast in-memory vector database 🚀

Never repeat yourself across AI :)

Documentation for LanceDB, the Multimodal Lakehouse for AI