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Weaviate

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30 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.6
Serving customers since
2019

Profile Name

Star Rating

24
5
0
0
1

Weaviate Reviews

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Profile Name
Star Rating
24
5
0
0
1
Nanthakumar  M.
NM
Nanthakumar M.
Service Asset And Configuration Management
06/24/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Weaviate Makes Semantic + Traditional Search Fast, Scalable, and Developer-Friendly

I like Weaviate's ability to combine semantic vector search with traditional search capabilities in a scalable, developer-friendly platform. It makes building AI and retrieval-augmented applications much faster and more effective.
Apoorv D.
AD
Apoorv D.
Associate @ JPMorgan Chase | Former SDE at Siemens
10/03/2025
Validated Reviewer
Review source: G2 invite

easy to start but needs work at scale

i really like how quick it is to get going with weaviate. you don’t need to spend days messing around with configs or setups. just spin it up and start pushing data in, which makes it perfect when you’re prototyping or just testing ideas. i also like that it handles both vectors and metadata together, so you can try hybrid searches without building a whole extra system. overall, it feels beginner friendly but still powerful enough to run real demos fast
Satvik K.
SK
Satvik K.
Honors Data Analytics + Business @ OSU
09/29/2025
Validated Reviewer
Review source: G2 invite
Incentivized Review

Fast, flexible, and developer-friendly vector database.

Weaviate makes it incredibly easy to implement semantic search and generative AI applications. The integration with Python and REST APIs is smooth, and the support for hybrid search (vector + keyword) is powerful for real-world use cases. Its modular design and integrations with tools like OpenAI, Cohere, and Hugging Face let you plug in embeddings quickly. The documentation is clear, and the community is active and responsive, which shortens the learning curve.

About

Contact

HQ Location:
Amsterdam, NL

Social

@weaviate_io

What is Weaviate?

Weaviate is an open-source, AI-native vector database for building semantic search, hybrid search, RAG, and agentic AI applications. It stores data objects alongside vector embeddings and integrates with leading embedding and LLM providers. Weaviate is available self-hosted or as a fully managed service (Weaviate Cloud) on AWS, Google Cloud, and Azure, with a free tier, Query Agent for natural-language querying, and Engram for AI-agent memory. SOC 2 Type II certified, with HIPAA available.

Details

Year Founded
2019
Website
weaviate.io