W

Weaviate

Invited

AI-native vector database.

AI InfrastructureCH-VER-967282Listed June 12, 2026
Visit Website
AI-Extractable Summary
What:AI-native vector database.
For whom:Engineering teams building AI applications, semantic search, and retrieval-augmented generation systems that need scalable vector storage and retrieval
Key outcome:Improve AI search and retrieval relevance at scale with a vector database built for semantic, hybrid, and RAG-powered applications
Category:AI Infrastructure

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
2
Impressions
0
Clicks
0
Saves
0
GQI Earned

Citable Outcome

Improve AI search and retrieval relevance at scale with a vector database built for semantic, hybrid, and RAG-powered applications.

About

Open-source vector database for AI applications with hybrid search, generative modules, and multi-modal support.

Target Audience: Engineering teams building AI applications, semantic search, and retrieval-augmented generation systems that need scalable vector storage and retrieval.
Not ideal for: Teams that only need a simple transactional database or a basic app backend without semantic search, vector retrieval, or AI workloads.

What makes it different

  • AI-native vector database with hybrid search that combines keyword and vector retrieval in one system.
  • Built-in vectorization and integration modules that reduce custom embedding pipeline complexity.
  • Open-source core with managed cloud deployment options for flexible implementation.
  • Rich metadata filtering and multi-tenancy support for production-grade AI retrieval workloads.

Tags & Classification

semantic searchretrieval augmented generationdocument retrievalrecommendation enginesmultimodal search
machine learning engineersdata engineersbackend developersai product teams
e-commercehealthcarefinancial servicesmedia and publishing
Platform: PlatformModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_weaviate,
  title = {Weaviate},
  url = {https://citablehub.com/p/weaviate},
  note = {Listed June 12, 2026. CitableHub ID: CH-VER-967282},
  year = {2026}
}
APA
Weaviate. (2026). CitableHub Software Index. https://citablehub.com/p/weaviate.
MLA
"Weaviate." CitableHub, 2026, https://citablehub.com/p/weaviate.