Weaviate

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Generative AI Infrastructure?
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Data storage and retrieval
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Weaviate is an open-source vector database that allows users to build applications ranging from custom-made search and recommendation systems to ChatGPT plug-ins. It simplifies vector data management for AI developers by enabling them to generate, store, and search for embedding vectors and their corresponding objects. Weaviate's cloud service provides developers with the full power of the vector database without any operational overheads.

In February 2023, Weaviate introduced generative search support, making it easier for developers to harness the power of LLMs and their human-like ability to understand and respond to queries in natural language. The database excels at hybrid search, combining keyword and vector search to leverage exact term matching and semantic context to search across text, images, audio, video, or genetic information.

Weaviate adopts a modular ecosystem, integrating with various ML model providers such as OpenAI, Cohere, Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Weaviate supports hybrid search and offers enterprise-ready features like filtering, data storage, cross-references, multi-tenancy, and replication. It operates on an open-source model, offering freely available downloads.

Key customers and partnerships

Weaviate’s customer base includes notable firms such as Instabase, Red Hat, Netapp, Shippo, and Stack Overflow. 

Key customers and partnerships

In February 2024, Weaviate partnered with Snowflake's Snowpark Container Services to enhance the deployment, management, and scaling of applications within Snowflake's environment. In November 2023, Weaviate enhanced its association with the AWS Partner Network to optimize the development of AI applications.


HQ location:
Amsterdam NLD
Founded year:
2019
Employees:
51-100
IPO status:
Private
Total funding:
USD 67.7 mn
Last Funding:
USD 50.0 mn (Series B; Apr 2023)
Last valuation:
USD 200.0 mn (Apr 2023)
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