High performance vector generation and search at any scale

Vectorbase offers comprehensive support for generating and utilizing embeddings, essential for AI applications. We provide access to an embeddings store, facilitating the storage, retrieval, and management of high-dimensional vector data.

Product Highlights

VectorBase is a comprehensive vector database solution that seamlessly manages the entire lifecycle of embeddings, from creation and storage to fast retrieval and analysis. It provides an intuitive interface and robust tools that simplify the development process.

With VectorBase, you can effortlessly create embeddings using popular open-source tools such as TensorFlow, PyTorch, and Hugging Face Transformers. The platform supports continuous updates to embeddings, ensuring that your data remains current and your models stay effective over time. This flexibility allows for easy integration and adaptation to evolving datasets and requirements.

VectorBase excels in delivering lightning-fast Approximate Nearest Neighbor (ANN) search and retrieval capabilities. Its optimized algorithms and indexing techniques ensure that you can quickly find and retrieve relevant embeddings from massive datasets, enabling real-time applications and analytics. This performance ensures that your applications remain responsive and efficient, even under heavy load.

Integrates with all LLM frameworks

Our managed services ensure seamless integration with various AI frameworks, simplifying the deployment and maintenance of vector search solutions.

Generative AI

Enhance the quality of LLM generated content

RAG Systems

Connect your enterprise to the LLMs

Advanced Search

Superpowers for your search application

Recommendation Systems

Relevancy for your users

Data Analysis

Analyze data using the power of vector search

Anomaly Detection

Fastest way to identify outliers

Contact us: admin@vectorbase.dev