Couchbase has extended its database to support AI applications with vector search, semantic caching and integration with Amazon Bedrock, plus a managed MCP server and Agent Memory services that let agents persistently access profiles, conversation history and vectorized facts across sessions.

Legacy databases are not optimized for AI agents, as Couchbase's AI chief puts it, and the challenge now is supporting those workloads without adding another backend platform to production.

Read the full article on how Couchbase is evolving into a data plane for AI: buff.ly/6tqM85Q

#Databases #Couchbase #AI #AIAgents #VectorSearch