Weaviate
9.2VerifiedWeaviate is an open-source vector database with built-in vectorisation, hybrid search and graph-connected data for AI applications.
Overview
Weaviate is an open-source vector database with built-in vectorisation, hybrid search and graph-connected data for AI applications.
Weaviate is a freemium vector database built for developers, enterprises. It supports search, embeddings, rag. A developer API is available for integrations. It is hybrid and open source. It holds a rating of 9.2/10 on FindurAI.
Best For
Open-source vector database for AI
- Pricing
- Freemium
- Free plan
- Available
- Developer API
- Available
- Mobile app
- Not available
Key Features
Weaviate's core feature set includes semantic search, rag, recommendation, and knowledge graphs.
More About Weaviate
Weaviate is most commonly used for knowledge base, ai agents, document analysis, and research.
On the capability side, it supports search, embeddings, and rag. It's built on embeddings, search, and rag AI technology.
Weaviate is available on API, Linux, Windows, and Mac, and can be deployed via cloud, local, and self hosted. Hosting is hybrid and the project is open source.
A developer API is available, so Weaviate can be integrated directly into your own applications and workflows. It integrates with REST API, Python, JavaScript, and Docker.
Pros
- Free tier/plan available
- Developer API access available
- Open-source codebase
- Excellent tools for Developer Tools
Cons
- Steep learning curve for beginners
- Requires active internet connection
Frequently Asked Questions
Is Weaviate free to use?
Weaviate is offered under a freemium model. You can start using it for free with their free plan/tier.
Does Weaviate have developer API access?
Yes, Weaviate offers developer API integrations.
Quick Facts
- Category
- Databases
- Tool type
- Vector Database
- Skill level
- Advanced
- License
- Open Source
- Hosting
- Hybrid
- Open source
- Yes
- Verified
- Yes
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