Related Products
|
||||||
About
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.
|
About
Weaviate is an open-source, AI-native vector database for building search, RAG, and agentic AI applications. Store data objects alongside vector embeddings from your favorite ML models and scale seamlessly into billions of objects. Bring your own vectors or use built-in vectorization, then combine vector, keyword, and hybrid search for state-of-the-art results, even with filters. Pipe results through leading LLMs to power next-generation, retrieval-augmented experiences. Weaviate goes beyond the database: the Query Agent turns natural language into precise, cited queries, Engram provides managed memory for AI agents, and Weaviate Embeddings handles vectorization for you. Run it yourself under an open-source license, or use fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, and RBAC built in. Use any generative model with your own data to build chatbots, semantic search, recommendation, and agentic workflows.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Organizations wanting a data engineer solution to turn data into vector embeddings
|
Audience
Developers and AI teams building search, RAG, and agentic AI applications
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationSuperlinked
Founded: 2021
United States
superlinked.com
|
Company InformationWeaviate
Founded: 2019
The Netherlands
weaviate.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Amazon SageMaker
Not Supported
Amazon Web Services (AWS)
Not Supported
Astro by Astronomer
Not Supported
Azure Marketplace
Not Supported
Cohere
Not Supported
Cursor
Not Supported
DSPy
Not Supported
Google Cloud Platform
Not Supported
Grok
Not Supported
Haystack
Not Supported
|
Integrations
Amazon SageMaker
Supported
Amazon Web Services (AWS)
Supported
Astro by Astronomer
Supported
Azure Marketplace
Supported
Cohere
Supported
Cursor
Supported
DSPy
Supported
Google Cloud Platform
Supported
Grok
Supported
Haystack
Supported
|
|||||
|
|
|