VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
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Updated
Jun 3, 2024 - Jupyter Notebook
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
A cloud-native vector database, storage for next generation AI applications
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Azure AI Search および Azure Cosmos DB for MongoDB vCore を使ってベクター検索をするサンプルです。
Search anything, instantly
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A repository of code samples for Vector search capabilities in Azure AI Search.
cuVS - a library for vector search and clustering on the GPU
Music streaming application using nextjs
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform
Production ready AI assistant framework
Build LLM-powered applications in Ruby
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
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