Weaviate is launching its latest SaaS service, Weaviate Embeddings, to bring freedom and flexibility to a crucial area of AI development: data vectorization.
According to the company, Weaviate Embeddings combines the flexibility of open source with the convenience and scalability of a managed service and pay-as-you-go pricing.
Weaviate Embeddings provides access to open-source or proprietary models fully hosted in Weaviate Cloud, eliminating the need to connect to an external embedding provider or self-hosting. Users maintain full control of their embeddings and can easily switch between models.
Weaviate Embeddings runs on GPUs and brings ML models closer to where data is stored to minimize latency. Unlike other commercial model providers, Weaviate imposes no rate limits or caps on embeddings per second in production environments, the company said.
“Our goal is to equip developers with the tools and operational support to bring their models closer to their data,” said Weaviate CEO Bob van Luijt. “Weaviate Embeddings makes it simpler for developers to build and manage AI-native applications. For those who prefer a custom approach, our open-source database supports any way they want to work. It’s all about giving developers the freedom to choose what’s best for them.”
Currently available in preview on Weaviate Cloud, Weaviate Embeddings launches with Snowflake’s Arctic-Embed, an open-source text embedding model known for high quality and efficient retrieval. Weaviate plans to add new models and modalities to the service on an ongoing basis starting in early 2025.
Weaviate Embeddings is the latest in a series of projected services to help AI developers move from prototypes to production, according to the company.
Earlier this year Weaviate launched a developer “workbench” of tools and apps for common AI use cases, including a Recommender and tools for queries, collections, and data exploration. Weaviate also launched a range of hot, warm and cold storage tiers to reduce the cost of AI-native apps in production.
For more information about this news, visit https://weaviate.io.