Livestream July 2: Build GenAI Apps fast and improve relevancy with RAGStack and Langflow

Back to Integrations

Vectorize with NVIDIA

Generate vector embeddings directly from your database with 20x performance at 80% lower cost, simplifying the embedding process.

GET STARTED

Overview

NVIDIA’s vector embedding capabilities are engineered for high-performance text embeddings with exceptional precision and scalability. NVIDIA's advanced transformer architecture allows it to process vast amounts of data efficiently, excelling in applications like natural language processing, real-time recommendation systems, and large-scale data analysis. Embedding models provided by NVIDIA stand out with unparalleled speed and accuracy, supported by optimized GPU acceleration, reducing latency and computational costs.

Generate Vector Embeddings with NVIDIA and Astra DB

By integrating with DataStax Astra Vectorize, NVIDIA vector embeddings are generated seamlessly and stored in DataStax Astra DB, streamlining the development of robust, AI-driven applications with modern vector processing technology.

Vectorize with NVIDIA's logo
CategoryVector Embedding Generation
Documentationdocs.datastax.com

Related Integrations

Vectorize with Azure OpenAIVectorize with Azure OpenAI

Search and analyze data based on its true meaning with vector embeddings, increasing effectiveness for tasks like semantic search and text comparison.

Vectorize with OpenAIVectorize with OpenAI

Capture intricate relationships in your content with vector embeddings—ideal for tasks like search and recommendation systems.

Vectorize with Hugging FaceVectorize with Hugging Face

Save time and effort with pre-trained vector embedding models, offering strong accuracy for natural language processing tasks and GenAI apps.

Vectorize with UpstageVectorize with Upstage

Automate tasks that require high efficiency and accuracy, such as information retrieval and question answering, with embedding models.

Vectorize Embeddings with NVIDIA and Astra DB

Generate vector embeddings directly from your database with 20x performance at 80% lower cost, simplifying the embedding process.

GET STARTED

FAQ

What is NVIDIA?

NVIDIA builds software for building, training, and fine-tuning state-of-the-art conversational AI models. It provides a suite of pre-trained models, tools, and scripts for creating speech recognition, natural language understanding, and text-to-speech systems. Powered by GPU-accelerated computing capabilities, NVIDIA’s models are designed to optimize and speed up the development and deployment of AI applications. Its modular architecture allows developers to customize and extend models to suit specific requirements, making it a versatile choice for various AI-driven tasks.

What is Astra DB?

The Astra DB vector database gives developers a familiar, intuitive Data API for vector and structured data types, and all the ecosystem integrations required to deliver production-ready generative AI applications on any infrastructure with unlimited scale.

How does NVIDIA work?

NVIDIA’s embedding models convert input data, such as text or audio, into dense, high-dimensional vectors that capture semantic information. These models generate vector embeddings that represent the input in a continuous vector space, preserving its meaning and relationships. It also allows for fine-tuning the models based on specific tasks or datasets, enabling customization for various AI applications.

When should I use the Vectorize with NVIDIA integration?

The Vectorize with NVIDIA integration is appropriate when you need to convert large volumes of text or audio data into meaningful numerical representations (vector embeddings) for downstream machine learning tasks.

Is it free to use the Vectorize with NVIDIA integration?

The Vectorize with NVIDIA integration is currently free, as it is in a Public Preview stage.

Do I need an NVIDIA account to use this integration?

No, you don’t need an NVIDIA account to use the Vectorize with NVIDIA integration.