Weaviate
The AI-native database for a new generation of software
The AI-native database for a new generation of software. Store and retrieve data objects and vector embeddings. Seamlessly connect to your favorite ML models. And build intuitive, reliable AI applications that scale.
Reviews for Weaviate
Hear what real users highlight about this tool.
Reviews paint Weaviate as fast, reliable, and well supported, with standout maker endorsements. Makers of Cortex highlight flexible on‑the‑fly vector stores and praise hands‑on, architecture‑level support. Makers of Zefi.ai credit the team’s early, sustained support and dependable data management. Makers of Lamatic.ai report smooth scaling on serverless and strong vector search with flexible deployment. Others note seamless semantic search across media and an approachable developer experience. One user mentions easy data retrieval. Overall: performant tooling with exemplary support.
This AI-generated snapshot distills top reviewer sentiments.
We chose Weaviate for its great developer experience and seamless integration with vector search and AI-powered queries. It makes working with embeddings and content indexing much simpler.
Weaviate gives us fast, semantic search across unstructured call data, crucial for surfacing insights in real time. Its native vector support and scalability made it the best fit for building an AI native platform like Insight7.
Weaviate is amazing! It lets us manage the data at scale when we need and how we need it.
Easy to setup, very clear documentation and has all the search features you could ever need for a RAG application
Quick support and powerful tooling. The rapid development makes it hard to keep pace with the updates, but it's worth it!
The use of Weaviate as a vector store to underpin our RAG implementation is fantastic because it really accelerates the property specific AI results as well as common support questions to augment the AI responses homeowners have to their questions about their house.
Weaviate is the fastest, most scalable vector database we've used. Its hybrid search and metadata filtering make concept-level retrieval incredibly efficient and powerful.
Weaviate is open-source, very easy to get started with, Bob & the team are extremely supportive, and their vector db just works like a charm! I've been using it in all my apps over the past years.
We rely on Weaviate for our vector database needs. It's fantastic for RAG and managing our agents' knowledge bases and memory!