Summary
| Foundation Year | 2019 |
| Country | 🇳🇱 Netherlands |
| Founders | Bob van Luijt, Etienne Dilocker, Micha Verhagen |
| Tier | Free Trial, Paid |
| Platforms | API, Web Browsers |
| AI Features | AI Knowledge Base, API, Backup & Restore, Hybrid Search, Multi-tenancy, Retrieval Augmented Generation, Structured Filtering, Vector Search |
| Pricing From | $45 Per Month |
| Support | Yes (Email, Phone) |
| Best Used For | AI Knowledge Base |
| Affiliate Program | No |
| White Label | No |
| API | Yes |
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Description
Features
- Vector Search
- Keyword Search (BM25/BM25F)
- Hybrid Search
- Structured Filtering
- Retrieval Augmented Generation (RAG)
- Multi-tenancy
- Backup & Restore
- GraphQL API
- REST API
- gRPC Search API
Free Plan & Pricing
Refund Policy
5 Ratings
[4.6/5]
[N/A]
5app.ai Rating
[N/A]
AI Review
[4.2/5]
Weaviate is praised for making semantic search and vector database workflows easy to get started with, combining vector storage and metadata into one system which speeds up prototyping and RAG pipelines; users note strong features and cloud-native modules for real-time search but report scaling and performance can be inconsistent at larger loads.
Sources:- G2.com, G2.com, Trustradius.com, Repvue.com
Our Expert's Opinion
[4.5/5]
After trying Weaviate, I feel it is a strong vector database for building an AI knowledge base, because it gives fast semantic search and also hybrid search when you need both meaning and keywords. I like that it supports several APIs (GraphQL, REST, and gRPC), so it fits different apps and workloads. But it is not “plug and play” for everyone: the schema and data modeling can take time to get right, and some advanced parts (like multi-tenancy and backups) add extra setup and rules you must understand. Also, if you use the cloud version, the pricing model can feel confusing at first, so you need to watch usage and plan your budget. Overall, it feels powerful and flexible, but it asks you to learn a bit more than the simplest managed tools.
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