Distributed vector search for AI-native applications

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

A cloud-native vector database, storage for next generation AI applications

Website for the Weaviate vector database

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

NucliaDB, The AI Search database for RAG

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​.

A python native client for easy interaction with a Weaviate instance.

OSINT Platform - video transcription, email verification, digital footprints, backlinks and more.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.

Build LLM-powered applications in Ruby

Search anything, instantly

Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed.

🔮 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.

A distributed Key-Value Storage using Raft

The open-source tool for building high-quality datasets and computer vision models

AI + Data, online. https://vespa.ai

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

The AI-native database built for LLM applications, providing incredibly fast full-text and vector search