Search

How to upgrade Redis, which is used by both ChatGPT and OpenAI, to a vector database?

Companies across industries are increasingly recognizing that making data-driven decisions is a necessity to compete now, in the next 5 years, in the next 20 years and beyond. With the explosion of big language modeling, vector databases have become a hot topic. With just a few lines of simple Python code, vector databases can act as inexpensive but efficient "external brains" for big language models.

[Rainbow Solutions] eBay Improves Manual Processes and Decentralized Data Deficiency in Online Market with Domo

"To me, it's the only tool that senior executives in the market can use and understand. These people aren't good at pivot tables, they just want data that helps them make decisions. The fact that my VP now easily understands the story that the pivot charts tell and can ask questions very quickly is a testament to the power of Domo.

[Hongke Solution] Customizing AI Agents for LangChain with Redis - OpenGPTs

LangChain founder Harrison Chase said, "We use Redis in OpenGPTs to store all of our long-term content, including vector storage for its use in retrieval and a database for storing message and agent configurations.The fact that Redis integrates all of this functionality into a single database is very appealing! Redis integrates all of these capabilities in one database, which is very attractive."

Contact Hongke to help you solve your problems.

Let's have a chat