Weaviate

AI-native vector database with built-in ML modules

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Weaviate is an open-source vector database written in Go that stores objects together with their vector embeddings for semantic search at scale. A single query interface combines vector similarity, keyword filtering, retrieval-augmented generation, and reranking, with optional modules that generate embeddings at import time. It runs self-hosted or as a managed cloud service and is built for RAG, semantic search, and recommendation systems.

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Details

Price
Freemium
Platform
Hybrid
Difficulty
Intermediate (3/5)
License
BSD-3-Clause
Added
Jan 29, 2026

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