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How Redis, used by both ChatGPT and OpenAI, was upgraded 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.

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."

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