Infinity

What is Infinity?

Infinity is an AI-native database designed for Large Language Model (LLM) applications. It provides incredibly fast hybrid search capabilities across dense embeddings, sparse embeddings, tensors, and full-text data. This allows developers to build high-performance AI applications that require efficient data retrieval and analysis.

How does Infinity work?

Infinity stands out with its ability to perform hybrid searches, combining various data types for optimal results. Key features include:

• Incredibly Fast: Achieves 0.1 milliseconds query latency on million-scale vector datasets and supports up to 15K QPS (Queries Per Second) on million-scale vector datasets.
• Powerful Search: Supports hybrid search combining dense embeddings, sparse embeddings, tensors, and full-text search, with filtering options.
• Rich Data Types: Handles a wide range of data types including strings, numerics, and vectors.
• Ease-of-Use: Offers an intuitive Python API and a single-binary architecture with no dependencies, simplifying deployment.

Why Choose Infinity?

• Performance: Optimize your LLM applications with incredibly fast query performance.
• Flexibility: Leverage hybrid search capabilities to combine different data types effectively.
• Usability: Simplify deployment and development with an intuitive API and single-binary architecture.

Key Features

• Hybrid Search: Supports a combination of dense embeddings, sparse embeddings, tensors, and full-text search.
• Reranking: Supports rerankers including RRF (Reciprocal Rank Fusion), weighted sum, and ColBERT.
• Data Types: Supports strings, numerics, vectors, and more.

How to Use Infinity

Infinity provides an intuitive Python API, making it easy to integrate into your projects. Its single-binary architecture simplifies deployment. You can get started by visiting the Infinity GitHub repository for documentation and examples.

Who is Infinity for?

Infinity is ideal for developers and organizations building AI applications that require efficient data retrieval and analysis, especially those working with LLMs and vector embeddings. It's suitable for:

• LLM Application Developers: Build high-performance applications with fast hybrid search capabilities.
• AI Researchers: Experiment with different data types and search strategies.
• Data Scientists: Analyze and retrieve data efficiently for AI models.

By offering top performance and advanced features, Infinity empowers you to tackle future AI application challenges effectively. Join the community on Twitter, GitHub, and Discord.