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Title:The AI-native database developers love | Weaviate
Description:Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in
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Fetched At:November 18, 2025
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h1FOR AI ENGINEERSWHO THINK BIG
h2Your stack’s missing piece for RAG, agents, and everything coming next
h3Production-ready AI applications, faster
h4Language agnostic by design
h4Seamless model integration
h4Database Agents
h4Easy start, boundless scale, deploy anywhere
h5AI-first features under one roof
h5Billion-scale architecture
h5Enterprise-ready deployment
h5A partner in innovation
h5Where the AI builders build
h3Stay updated and subscribe to our newsletter
h2Ready to get started?
Markdown Content
The AI-native database developers love | Weaviate
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# FOR AI ENGINEERS
WHO THINK BIG
Start fast, scale to billions with a feature-rich vector database trusted by AI innovators
Get StartedHow we empower
AI-native builders →
## Your stack’s missing piece for RAG, agents, and everything coming next
WHAT ARE YOU BUILDING?
AI-POWERED SEARCH
Smart, contextual search across unstructured data
Learn more
RETRIEVAL AUGMENTED GENERATION
Trustworthy chat experiences grounded in your data
Learn more
AGENTIC AI
Knowledgeable AI agents and agentic workflows
Learn more
HOW WILL YOU BUILD?
### Production-ready
AI applications, faster
Spin up a cluster, point it at your data, and go. Weaviate can take care of embeddings, ranking, and auto-scaling so you can ship features, not infrastructure.
Try Weaviate CloudWeaviate Quickstart
SEARCHVECTORIZERAGTENANTSINDEXAGENTS
\# Select collection
collection \= client.collections.get("SupportTickets")
\# Pure vector search
response \= collection.query.near\_vector(
near\_vector\=\[0.1, 0.1, 0.1\],
limit\=5
)
\# Semantic search
response \= collection.query.near\_text(
query\="login issues after OS upgrade",
limit\=5
)
\# Hybrid search (vector + keyword)
response \= collection.query.hybrid(
query\="login issues after OS upgrade",
alpha\=0.75,
limit\=5
)
#### Language agnostic by design
Use SDKs for Python, Go, TypeScript, or JavaScript—or connect to GraphQL or REST APIs.
* * *
#### Seamless model integration
Connect your ML models of choice, or use our built-in embedding service.
* * *
#### Database Agents
Reduce manual work with pre-built agents that interact with and improve your data.
MORE DEVELOPER RESOURCES \-->
WHY USE WEAVIATE?
#### Easy start, boundless scale, deploy anywhere
##### AI-first features under one roof
Avoid separate systems and complex data pipelines. Write less custom code and build AI-native apps faster.
##### Billion-scale architecture
Adapt to any workload. Scale seamlessly as you grow up or out, all while optimizing costs.
##### Enterprise-ready deployment
Run securely in our cloud or yours. Meet enterprise requirements like RBAC, SOC 2, and HIPAA.
##### A partner in innovation
Fuel your AI products with cutting-edge features and first-class support from our global team of experts.
##### Where the AI builders build
Join our community of over 50,000 AI builders. Attend courses, events, and discussions online or in-person.
BEFORE WEAVIATE
WITH WEAVIATE
### Stay updated and subscribe to our newsletter
## Ready to get started?
Try Weaviate Cloud today, or get in touch with our team to discuss your needs. We can’t wait to meet you.
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