Weaviate
33 reviews
- 1 profiles
- 2 categories
Average star rating
4.6
Serving customers since
2019
Weaviate Reviews
TN
Tayyab N.
Efficient Vector Searches with Easy Integration
I really like Weaviate for its fast and efficient vector search capabilities. The ease of use and ease of data import and querying are impressive, thanks to its extensive Python SDK, which is crucial for my application integrations. It's great for the custom Python applications I build, especially when using FastAPI.
NM
Nanthakumar M.
Service Asset And Configuration ManagementWeaviate 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.
AD
Apoorv D.
Associate @ JPMorgan Chase | Former SDE at Siemenseasy 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
About
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