Redis

Future Redis releases will continue to offer free and permissive use of the source code under dual RSALv2 and SSPLv1 licenses; these releases will combine advanced data types and processing engines previously only available in Redis Stack. Beginning today, all future versions of Redis will be released with source-available licenses. Starting with Redis 7.4, Redis will be dual-licensed under the Redis Source Available License (RSALv2) and Server Side Public License (SSPLv1).

Tired of outdated support methods slowing you down? Revolutionize your customer support process with cutting-edge AI technology. Join us to discover a new era of customer support. In this webinar, we’ll dive into the power of Generative AI and LLMs, paired with Redis’ real-time capabilities.

Redis Vector Library simplifies the developer experience by providing a streamlined client that enhances Generative AI (GenAI) application development. Redis Enterprise serves as a real-time vector database for vector search, LLM caching, and chat history. Taking advantage of Generative AI (GenAI) has become a central goal for many technologists. Since ChatGPT launched in November 2022, organizations have set new priorities for their teams to apply GenAI.

If you’re like me – when you hear the word “agent” you think of secret agents doing cool stuff. Well, in the world of AI, agents can absolutely be secret agents, but they can also be something like Siri on your iPhone. These AI agents can be any entity that perceives their environment in some way and then can take actions that will help them achieve your goals. For instance, did you know that your computer opponents in Mario Kart are not all trying to come in first?

Simplify RAG development for AI apps with LangChain and Redis. Join us for an in-depth exploration of Retrieval-Augmented Generation (RAG) and its application within the LangChain framework.

RU402 · Self paced Learn to use Redis as a vector database and perform vector searches. Register  → What you’ll learn With Redis, you can build advanced use cases thanks to the support of the vector data type. This course introduces you to semantic search and explains its advantages over the traditional full-text search. You will understand the concepts of vector embeddings and embedding models, learn to use Redis as a vector database and perform vector searches.

Redis OM .NET now supports Redis vector search and integrates with embedding generation APIs using OpenAI, Azure OpenAI, Hugging Face, and ML.NET. Vector database technology is reshaping the way we think about data. Passages of text, images, and audio can all be encoded and indexed as vectors so that they can be searched semantically. We are rapidly moving from a world where the machine-readable semantics of your data are within its content, rather than its structure.

You want to spend your time building, not managing your budget. Today, we’re excited to share that Redis Cloud is now more accessible than ever, with the Essentials plan starting at just $5 per month! It’s the perfect way for you to power a variety of use cases like caching, session storage, and even AI and LLM-powered applications.

Throughout 2023, we saw increasing demands for faster applications to improve customer experiences, real-time inferencing, and the accelerated broad adoption of generative AI and vector databases. As we prepare for the year ahead, join Yiftach Shoolman, Co-founder and CTO at Redis, as he draws upon industry and Redis customer insights to present real-time data trends alongside our own technology predictions for 2024.

Learn how Docugami uses Generative AI and Redis to transform documents into actionable insights. Docugami is the “document engineering” company that transforms business documents into actionable data at scale. Docugami’s proprietary Business Document Foundation Model leverages Apache Spark and Redis to convert enormous sets of business documents into Knowledge Graphs.