infinity - AI-native database enabling versatile and high-speed search capabilities across various data types

Introduction to Infinity: The AI-Native Database for LLM Applications

Overview

Infinity is an innovative database system specifically designed for artificial intelligence (AI) and large language model (LLM) applications. What sets it apart is its ability to perform incredibly fast and efficient searches across various data types, such as dense vectors, sparse vectors, tensors, and full-text data. This makes it a reliable choice for a wide array of applications, including search engines, recommendation systems, question-answering platforms, conversational AI, and content generation, among others.

Key Features

⚡️ Impressive Performance

One of Infinity's standout attributes is its speed. It achieves a query latency of merely 0.1 milliseconds and more than 15,000 queries per second (QPS) on large-scale vector datasets. For full-text searches, it maintains a latency of 1 millisecond with over 12,000 QPS on 33 million documents. This level of performance is ideal for handling large volumes of data quickly and efficiently.

🔮 Advanced Search Capabilities

Infinity supports a hybrid search, which means it can simultaneously search across dense and sparse embeddings, tensors, and full-text data. Additionally, it offers various filtering options and supports multiple reranking techniques, such as reciprocal rank fusion (RRF) and weighted sum, as well as the ColBERT method, enhancing its search precision.

🍔 Versatile Data Handling

The database is versatile and supports a vast range of data types, including strings, numerics, and vectors, making it adaptable to diverse data needs and structures.

🎁 User-Friendly Features

Infinity prides itself on ease-of-use. It features an intuitive Python API that allows developers to integrate and deploy it quickly without complex dependencies. With its single-binary architecture, setting up Infinity is streamlined, and its Python module compatibility means it’s extremely developer-friendly, especially for those working on AI projects.

Getting Started

Infinity offers two primary operating modes: embedded and client-server.

Embedded Mode: This mode allows direct integration into Python applications without requiring a separate backend connection. This can be particularly useful for rapid prototyping and testing.

To begin working with Infinity in embedded mode, you can install the SDK with the following command:
```
pip install infinity-embedded-sdk==0.5.0.dev1
```
Developers can then connect to Infinity, create databases and tables, and perform dense vector searches within Python scripts seamlessly.
Client-Server Mode: For scenarios where Infinity needs to operate as a separate service disconnectable from client applications, it can be deployed in client-server mode. This setup is suitable for production environments.

Documentation and Support

For those new to Infinity or seeking to deepen their knowledge, extensive documentation is available, including a quickstart guide, Python and HTTP API references, and frequently asked questions. The community and support are robust, with active platforms such as Discord and Twitter for engagement.

Future Plans

Infinity's roadmap is loaded with plans to enhance and expand its capabilities further, providing a glimpse of exciting developments for the year ahead in the Infinity Roadmap 2024.

Joining the Community

Infinity has an open and welcoming community where users and developers can collaborate and share insights. Platforms like Discord are available for real-time support and discussions, making it easier to connect with other users and the development team.

In summary, Infinity is an AI-native database delivering cutting-edge performance and features for large-scale AI applications, with an aim to simplify complex data operations and support diverse application requirements with flexibility and speed.