Zilliz and Voyage AI: Revolutionizing RAG applications
Voyage AI is a team of AI researchers committed to revolutionizing RAG applications. With a strong foundation built on over five years of cutting-edge research at Stanford AI Lab and MIT NLP group, Voyage AI brings a state-of-the-art embedding model and API. Unlike traditional models, Voyage AI's innovative approach prioritizes embedding models, harnessing the power of contrastive learning on texts. Their flagship model,
voyage-2, outperforms industry benchmarks, including OpenAI's latest text embedding model, offering higher retrieval accuracy, extended context windows, and efficient inference for optimal performance and affordability.Zilliz and Voyage AI: Creating high-quality vector pipelines
Zilliz Cloud Pipelines simplifies the conversion of unstructured data into searchable vector embeddings in Zilliz Cloud with the Voyage AI models. No need to create a separate account for the embedding model, everything is turnkey in your Zilliz Cloud account.
Key highlights of the integration include:
- Support for both the
voyage-2andvoyage-code-2models - Seamless generation of vector embeddings within your Zilliz Cloud account
- Use as a scalable API service for retrieval, especially useful when using tools like LlamaIndex
- Support for both the
How Zilliz Cloud and Voyage AI work
Simplify the conversion of unstructured data into searchable vector embeddings in Zilliz Cloud with the Voyage AI models. Start by creating vector embeddings of your document chunks using Zilliz Cloud Pipelines in the Zilliz Cloud UI or via the RESTful APIs. No need to create a separate account for the embedding model, everything is turnkey in your Zilliz Cloud account.
Crafting Superior RAG for Code-Intensive Texts with Zilliz Cloud Pipelines and Voyage AI.png
Learn How to use Voyage AI with Zilliz Cloud
Check out these resources to help you get started using Zilliz Cloud Pipelines with the Voyage AI models.
Getting Started with Zilliz Pipelines and your RAG application