Weaviate
AI-native vector database with built-in ML modules
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
- Category
- RAG & Document Retrieval
- Price
- Freemium
- Platform
- Hybrid
- Difficulty
- Intermediate (3/5)
- License
- BSD-3-Clause
- Added
- Jan 29, 2026
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