86.5% accuracy. ~$0.07 per session. See how Redis stacks up in the Agent Memory Benchmark.

Read the report
Platform
Deploy
Solutions
Devs
Resources
Partners
Building with LangChain

Building AI Apps using LangChain

About

Redis and LangChain make AI apps faster, smarter, and easier to build. In this series, Ricardo Ferreira shows how to create a vector database on Redis Cloud and use it to power key features like similarity search, semantic caching, and session memory for LLMs. From setup to optimization, see how Redis keeps your AI running at full speed.

2 minutes
Key topics
  1. See how Redis and LangChain work together to build fast, scalable AI apps
  2. Learn how to implement vector search, semantic caching, and session memory for smarter LLMs
Speakers
Ricardo Ferreira

Ricardo Ferreira

Principal Developer Advocate

Latest content

See all
Image
AI tech talk series: Context retrieving at scale
Image
AI tech talk series: Semantic caching
Image
AI tech talk series: Agent Memory
34 minutes

Get started with Redis today

Speak to a Redis expert and learn more about enterprise-grade Redis today.