AWS Adds Vector Capabilities To More Databases
datanami, Thursday, November 30,2023
Amazon Web Services is adding vector search and vector embedding capabilities to three more of its database services, including Amazon MemoryDB for Redis, Amazon DocumentDB, and Amazon DynamoDB, the company announced yesterday at its re:Invent 2023 conference.
It doesn't look like the cloud giant will be adding a dedicated vector database to its offerings.
Demand for vector databases is surging at the moment, thanks to the explosion of interest in generative AI applications and large language models (LLMs). Vector databases are a critical component of the emerging GenAI stack because they store the vector embeddings generated ahead of time by LLMs, such as those offered in Amazon Bedrock. At runtime, the GenAI user input in matched to a stored embedding by using a nearest neighbor search algorithm in the database.