Agentic RAG: Semantic caching with Redis and LlamaIndex
With Redis and LlamaIndex, customers can build faster, more accurate chatbots at scale while optimizing cost. Join this session to learn the latest best practices.
Build real-time apps that exceed expectations for responsiveness and include complex processing with low latency.
The faster the app, the better the user experience. Happy users means increased revenue. The speed and unparalleled flexibility of Redis allows businesses to adapt to constantly shifting technology needs, especially in the AI space. Redis Vector Search provides a foundation for AI applications ranging from recommendation systems to document chat.
Ground chatbots in your data using Retrieval Augmented Generation (RAG) to enhance the quality of LLM responses.
Identify and retrieve cached LLM outputs to reduce response times and the number of requests to your LLM provider, which saves time and money.
Power recommendation engines with fresh, relevant suggestions at low-latency, and point your users to the products they’re most likely to buy.
Make it easier to discover and retrieve information across documents and knowledge bases, using natural language and semantic search.
Redis’s superior speed and throughput improves the user experience and ROI, allowing for additional enrichments within the required response window.
Tech stacks constantly evolve as Gen AI advances. Rich support for integrations and diverse data structures allows devs to bring apps to production quickly across multi-cloud and hybrid deployments.
Reliable, secure systems reduce risk, accelerating adoption and innovation for companies and enabling production scale and high availability across regions.
Get started with easy-to-use code that gets you up and running quickly. See for yourself why Redis is the “Most Loved Database”.
Our customers tell good stories
We’re using Redis Cloud for everything persistent in OpenGPTs, including as a vector store for retrieval and a database to store messages and agent configurations. The fact that you can do all of those in one database from Redis is really appealing.
Harrison Chase
Co-Founder and CEO