Redis to acquire real-time data platform Decodable; expands Redis for AI to deliver context and memory for AI agents and agentic systems.

Redis has announced key updates to enhance its Artificial Intelligence (AI) capabilities, including an acquisition and the launch of a new service. These advancements aim to improve the platform's effectiveness as a real-time context engine for AI systems.

Acquisition of Decodable

The company revealed its intention to acquire Decodable, a real-time data platform, during an event where CEO Rowan Trollope presented new initiatives. This acquisition focuses on optimizing data pipelines and ensuring critical data availability within the Redis infrastructure.

Launch of LangCache

Alongside the acquisition, Redis introduced LangCache, a service designed to reduce latency and token usage for applications utilizing large language models. This service aims to enhance the performance of query handling and overall user experience.

Framework Integrations and Additional Enhancements

Redis is also expanding its integrations across AI frameworks, including AutoGen and Cognee. These integrations are intended to facilitate improved memory management and developer experiences.

Performance Improvements

Other updates include advanced hybrid search capabilities and the use of int8 quantized embeddings. The latest version of Redis, 8.2, is noted to provide a 35% increase in command speed and a more efficient memory usage.

The developments highlighted in this announcement indicate Redis' strategic focus on reinforcing its role in the AI landscape by improving data processing and memory management capabilities. This summary reflects a timely, fact-based overview of the original blog post.